--- name: tech-news-digest description: Generate tech news digests with unified source model, quality scoring, and multi-format output. Six-source data collection from RSS feeds, Twitter/X KOLs, GitHub releases, GitHub Trending, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates. version: "3.15.0" homepage: https://github.com/draco-agent/tech-news-digest source: https://github.com/draco-agent/tech-news-digest metadata: openclaw: requires: bins: ["python3"] optionalBins: ["mail", "msmtp", "gog", "gh", "openssl", "weasyprint"] env: - name: TWITTER_API_BACKEND required: false description: "Twitter API backend: 'official', 'twitterapiio', or 'auto' (default: auto)" - name: X_BEARER_TOKEN required: false description: Twitter/X API bearer token for KOL monitoring (official backend) - name: TWITTERAPI_IO_KEY required: false description: twitterapi.io API key for KOL monitoring (twitterapiio backend) - name: TAVILY_API_KEY required: false description: Tavily Search API key (alternative to Brave) - name: WEB_SEARCH_BACKEND required: false description: "Web search backend: auto (default), brave, or tavily" - name: BRAVE_API_KEYS required: false description: Brave Search API keys (comma-separated for rotation) - name: BRAVE_API_KEY required: false description: Brave Search API key (single key fallback) - name: GITHUB_TOKEN required: false description: GitHub token for higher API rate limits (auto-generated from GitHub App if not set) - name: GH_APP_ID required: false description: GitHub App ID for automatic installation token generation - name: GH_APP_INSTALL_ID required: false description: GitHub App Installation ID for automatic token generation - name: GH_APP_KEY_FILE required: false description: Path to GitHub App private key PEM file tools: - python3: Required. Runs data collection and merge scripts. - mail: Optional. msmtp-based mail command for email delivery (preferred). - gog: Optional. Gmail CLI for email delivery (fallback if mail not available). files: read: - config/defaults/: Default source and topic configurations - references/: Prompt templates and output templates - scripts/: Python pipeline scripts - /archive/tech-news-digest/: Previous digests for dedup write: - /tmp/td-*.json: Temporary pipeline intermediate outputs - /tmp/td-email.html: Temporary email HTML body - /tmp/td-digest.pdf: Generated PDF digest - /archive/tech-news-digest/: Saved digest archives --- # Tech News Digest Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation. ## Quick Start 1. **Configuration Setup**: Default configs are in `config/defaults/`. Copy to workspace for customization: ```bash mkdir -p workspace/config cp config/defaults/sources.json workspace/config/tech-news-digest-sources.json cp config/defaults/topics.json workspace/config/tech-news-digest-topics.json ``` 2. **Environment Variables**: - `TWITTERAPI_IO_KEY` - twitterapi.io API key (optional, preferred) - `X_BEARER_TOKEN` - Twitter/X official API bearer token (optional, fallback) - `TAVILY_API_KEY` - Tavily Search API key, alternative to Brave (optional) - `WEB_SEARCH_BACKEND` - Web search backend: auto|brave|tavily (optional, default: auto) - `BRAVE_API_KEYS` - Brave Search API keys, comma-separated for rotation (optional) - `BRAVE_API_KEY` - Single Brave key fallback (optional) - `GITHUB_TOKEN` - GitHub personal access token (optional, improves rate limits) 3. **Generate Digest**: ```bash # Unified pipeline (recommended) — runs all 6 sources in parallel + merge python3 scripts/run-pipeline.py \ --defaults config/defaults \ --config workspace/config \ --hours 48 --freshness pd \ --archive-dir workspace/archive/tech-news-digest/ \ --output /tmp/td-merged.json --verbose --force ``` 4. **Use Templates**: Apply Discord, email, or PDF templates to merged output ## Configuration Files ### `sources.json` - Unified Data Sources ```json { "sources": [ { "id": "openai-rss", "type": "rss", "name": "OpenAI Blog", "url": "https://openai.com/blog/rss.xml", "enabled": true, "priority": true, "topics": ["llm", "ai-agent"], "note": "Official OpenAI updates" }, { "id": "sama-twitter", "type": "twitter", "name": "Sam Altman", "handle": "sama", "enabled": true, "priority": true, "topics": ["llm", "frontier-tech"], "note": "OpenAI CEO" } ] } ``` ### `topics.json` - Enhanced Topic Definitions ```json { "topics": [ { "id": "llm", "emoji": "🧠", "label": "LLM / Large Models", "description": "Large Language Models, foundation models, breakthroughs", "search": { "queries": ["LLM latest news", "large language model breakthroughs"], "must_include": ["LLM", "large language model", "foundation model"], "exclude": ["tutorial", "beginner guide"] }, "display": { "max_items": 8, "style": "detailed" } } ] } ``` ## Scripts Pipeline ### `run-pipeline.py` - Unified Pipeline (Recommended) ```bash python3 scripts/run-pipeline.py \ --defaults config/defaults [--config CONFIG_DIR] \ --hours 48 --freshness pd \ --archive-dir workspace/archive/tech-news-digest/ \ --output /tmp/td-merged.json --verbose --force ``` - **Features**: Runs all 6 fetch steps in parallel, then merges + deduplicates + scores - **Output**: Final merged JSON ready for report generation (~30s total) - **Metadata**: Saves per-step timing and counts to `*.meta.json` - **GitHub Auth**: Auto-generates GitHub App token if `$GITHUB_TOKEN` not set - **Fallback**: If this fails, run individual scripts below ### Individual Scripts (Fallback) #### `fetch-rss.py` - RSS Feed Fetcher ```bash python3 scripts/fetch-rss.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] [--verbose] ``` - Parallel fetching (10 workers), retry with backoff, feedparser + regex fallback - Timeout: 30s per feed, ETag/Last-Modified caching #### `fetch-twitter.py` - Twitter/X KOL Monitor ```bash python3 scripts/fetch-twitter.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] [--backend auto|official|twitterapiio] ``` - Backend auto-detection: uses twitterapi.io if `TWITTERAPI_IO_KEY` set, else official X API v2 if `X_BEARER_TOKEN` set - Rate limit handling, engagement metrics, retry with backoff #### `fetch-web.py` - Web Search Engine ```bash python3 scripts/fetch-web.py [--defaults DIR] [--config DIR] [--freshness pd] [--output FILE] ``` - Auto-detects Brave API rate limit: paid plans → parallel queries, free → sequential - Without API: generates search interface for agents #### `fetch-github.py` - GitHub Releases Monitor ```bash python3 scripts/fetch-github.py [--defaults DIR] [--config DIR] [--hours 168] [--output FILE] ``` - Parallel fetching (10 workers), 30s timeout - Auth priority: `$GITHUB_TOKEN` → GitHub App auto-generate → `gh` CLI → unauthenticated (60 req/hr) #### `fetch-github.py --trending` - GitHub Trending Repos ```bash python3 scripts/fetch-github.py --trending [--hours 48] [--output FILE] [--verbose] ``` - Searches GitHub API for trending repos across 4 topics (LLM, AI Agent, Crypto, Frontier Tech) - Quality scoring: base 5 + daily_stars_est / 10, max 15 #### `fetch-reddit.py` - Reddit Posts Fetcher ```bash python3 scripts/fetch-reddit.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] ``` - Parallel fetching (4 workers), public JSON API (no auth required) - 13 subreddits with score filtering #### `enrich-articles.py` - Article Full-Text Enrichment ```bash python3 scripts/enrich-articles.py --input merged.json --output enriched.json [--min-score 10] [--max-articles 15] [--verbose] ``` - Fetches full article text for high-scoring articles - Cloudflare Markdown for Agents (preferred) → HTML extraction (fallback) → Skip (paywalled/social) - Blog domain whitelist with lower score threshold (≥3) - Parallel fetching (5 workers, 10s timeout) #### `merge-sources.py` - Quality Scoring & Deduplication ```bash python3 scripts/merge-sources.py --rss FILE --twitter FILE --web FILE --github FILE --reddit FILE ``` - Quality scoring, title similarity dedup (85%), previous digest penalty - Output: topic-grouped articles sorted by score #### `validate-config.py` - Configuration Validator ```bash python3 scripts/validate-config.py [--defaults DIR] [--config DIR] [--verbose] ``` - JSON schema validation, topic reference checks, duplicate ID detection #### `generate-pdf.py` - PDF Report Generator ```bash python3 scripts/generate-pdf.py --input report.md --output digest.pdf [--verbose] ``` - Converts markdown digest to styled A4 PDF with Chinese typography (Noto Sans CJK SC) - Emoji icons, page headers/footers, blue accent theme. Requires `weasyprint`. #### `sanitize-html.py` - Safe HTML Email Converter ```bash python3 scripts/sanitize-html.py --input report.md --output email.html [--verbose] ``` - Converts markdown to XSS-safe HTML email with inline CSS - URL whitelist (http/https only), HTML-escaped text content #### `source-health.py` - Source Health Monitor ```bash python3 scripts/source-health.py --rss FILE --twitter FILE --github FILE --reddit FILE --web FILE [--verbose] ``` - Tracks per-source success/failure history over 7 days - Reports unhealthy sources (>50% failure rate) #### `summarize-merged.py` - Merged Data Summary ```bash python3 scripts/summarize-merged.py --input merged.json [--top N] [--topic TOPIC] ``` - Human-readable summary of merged data for LLM consumption - Shows top articles per topic with scores and metrics ## User Customization ### Workspace Configuration Override Place custom configs in `workspace/config/` to override defaults: - **Sources**: Append new sources, disable defaults with `"enabled": false` - **Topics**: Override topic definitions, search queries, display settings - **Merge Logic**: - Sources with same `id` → user version takes precedence - Sources with new `id` → appended to defaults - Topics with same `id` → user version completely replaces default ### Example Workspace Override ```json // workspace/config/tech-news-digest-sources.json { "sources": [ { "id": "simonwillison-rss", "enabled": false, "note": "Disabled: too noisy for my use case" }, { "id": "my-custom-blog", "type": "rss", "name": "My Custom Tech Blog", "url": "https://myblog.com/rss", "enabled": true, "priority": true, "topics": ["frontier-tech"] } ] } ``` ## Templates & Output ### Discord Template (`references/templates/discord.md`) - Bullet list format with link suppression (``) - Mobile-optimized, emoji headers - 2000 character limit awareness ### Email Template (`references/templates/email.md`) - Rich metadata, technical stats, archive links - Executive summary, top articles section - HTML-compatible formatting ### PDF Template (`references/templates/pdf.md`) - A4 layout with Noto Sans CJK SC font for Chinese support - Emoji icons, page headers/footers with page numbers - Generated via `scripts/generate-pdf.py` (requires `weasyprint`) ## Default Sources (151 total) - **RSS Feeds (62)**: AI labs, tech blogs, crypto news, Chinese tech media - **Twitter/X KOLs (48)**: AI researchers, crypto leaders, tech executives - **GitHub Repos (28)**: Major open-source projects (LangChain, vLLM, DeepSeek, Llama, etc.) - **Reddit (13)**: r/MachineLearning, r/LocalLLaMA, r/CryptoCurrency, r/ChatGPT, r/OpenAI, etc. - **Web Search (4 topics)**: LLM, AI Agent, Crypto, Frontier Tech All sources pre-configured with appropriate topic tags and priority levels. ## Dependencies ```bash pip install -r requirements.txt ``` **Optional but Recommended**: - `feedparser>=6.0.0` - Better RSS parsing (fallback to regex if unavailable) - `jsonschema>=4.0.0` - Configuration validation **All scripts work with Python 3.8+ standard library only.** ## Monitoring & Operations ### Health Checks ```bash # Validate configuration python3 scripts/validate-config.py --verbose # Test RSS feeds python3 scripts/fetch-rss.py --hours 1 --verbose # Check Twitter API python3 scripts/fetch-twitter.py --hours 1 --verbose ``` ### Archive Management - Digests automatically archived to `/archive/tech-news-digest/` - Previous digest titles used for duplicate detection - Old archives cleaned automatically (90+ days) ### Error Handling - **Network Failures**: Retry with exponential backoff - **Rate Limits**: Automatic retry with appropriate delays - **Invalid Content**: Graceful degradation, detailed logging - **Configuration Errors**: Schema validation with helpful messages ## API Keys & Environment Set in `~/.zshenv` or similar: ```bash # Twitter (at least one required for Twitter source) export TWITTERAPI_IO_KEY="your_key" # twitterapi.io key (preferred) export X_BEARER_TOKEN="your_bearer_token" # Official X API v2 (fallback) export TWITTER_API_BACKEND="auto" # auto|twitterapiio|official (default: auto) # Web Search (optional, enables web search layer) export WEB_SEARCH_BACKEND="auto" # auto|brave|tavily (default: auto) export TAVILY_API_KEY="tvly-xxx" # Tavily Search API (free 1000/mo) # Brave Search (alternative) export BRAVE_API_KEYS="key1,key2,key3" # Multiple keys, comma-separated rotation export BRAVE_API_KEY="key1" # Single key fallback export BRAVE_PLAN="free" # Override rate limit detection: free|pro # GitHub (optional, improves rate limits) export GITHUB_TOKEN="ghp_xxx" # PAT (simplest) export GH_APP_ID="12345" # Or use GitHub App for auto-token export GH_APP_INSTALL_ID="67890" export GH_APP_KEY_FILE="/path/to/key.pem" ``` - **Twitter**: `TWITTERAPI_IO_KEY` preferred ($3-5/mo); `X_BEARER_TOKEN` as fallback; `auto` mode tries twitterapiio first - **Web Search**: Tavily (preferred in auto mode) or Brave; optional, fallback to agent web_search if unavailable - **GitHub**: Auto-generates token from GitHub App if PAT not set; unauthenticated fallback (60 req/hr) - **Reddit**: No API key needed (uses public JSON API) ## Cron / Scheduled Task Integration ### OpenClaw Cron (Recommended) The cron prompt should **NOT** hardcode the pipeline steps. Instead, reference `references/digest-prompt.md` and only pass configuration parameters. This ensures the pipeline logic stays in the skill repo and is consistent across all installations. #### Daily Digest Cron Prompt ``` Read /references/digest-prompt.md and follow the complete workflow to generate a daily digest. Replace placeholders with: - MODE = daily - TIME_WINDOW = past 1-2 days - FRESHNESS = pd - RSS_HOURS = 48 - ITEMS_PER_SECTION = 3-5 - ENRICH = true - BLOG_PICKS_COUNT = 3 - EXTRA_SECTIONS = (none) - SUBJECT = Daily Tech Digest - YYYY-MM-DD - WORKSPACE = - SKILL_DIR = - DISCORD_CHANNEL_ID = - EMAIL = (optional) - LANGUAGE = English - TEMPLATE = discord Follow every step in the prompt template strictly. Do not skip any steps. ``` #### Weekly Digest Cron Prompt ``` Read /references/digest-prompt.md and follow the complete workflow to generate a weekly digest. Replace placeholders with: - MODE = weekly - TIME_WINDOW = past 7 days - FRESHNESS = pw - RSS_HOURS = 168 - ITEMS_PER_SECTION = 10-15 - ENRICH = true - BLOG_PICKS_COUNT = 3-5 - EXTRA_SECTIONS = 📊 Weekly Trend Summary (2-3 sentences summarizing macro trends) - SUBJECT = Weekly Tech Digest - YYYY-MM-DD - WORKSPACE = - SKILL_DIR = - DISCORD_CHANNEL_ID = - EMAIL = (optional) - LANGUAGE = English - TEMPLATE = discord Follow every step in the prompt template strictly. Do not skip any steps. ``` #### Why This Pattern? - **Single source of truth**: Pipeline logic lives in `digest-prompt.md`, not scattered across cron configs - **Portable**: Same skill on different OpenClaw instances, just change paths and channel IDs - **Maintainable**: Update the skill → all cron jobs pick up changes automatically - **Anti-pattern**: Do NOT copy pipeline steps into the cron prompt — it will drift out of sync #### Multi-Channel Delivery Limitation OpenClaw enforces **cross-provider isolation**: a single session can only send messages to one provider (e.g., Discord OR Telegram, not both). If you need to deliver digests to multiple platforms, create **separate cron jobs** for each provider: ``` # Job 1: Discord + Email - DISCORD_CHANNEL_ID = - EMAIL = user@example.com - TEMPLATE = discord # Job 2: Telegram DM - DISCORD_CHANNEL_ID = (none) - EMAIL = (none) - TEMPLATE = telegram ``` Replace `DISCORD_CHANNEL_ID` delivery with the target platform's delivery in the second job's prompt. This is a security feature, not a bug — it prevents accidental cross-context data leakage. ## Security Notes ### Execution Model This skill uses a **prompt template pattern**: the agent reads `digest-prompt.md` and follows its instructions. This is the standard OpenClaw skill execution model — the agent interprets structured instructions from skill-provided files. All instructions are shipped with the skill bundle and can be audited before installation. ### Network Access The Python scripts make outbound requests to: - RSS feed URLs (configured in `tech-news-digest-sources.json`) - Twitter/X API (`api.x.com` or `api.twitterapi.io`) - Brave Search API (`api.search.brave.com`) - Tavily Search API (`api.tavily.com`) - GitHub API (`api.github.com`) - Reddit JSON API (`reddit.com`) No data is sent to any other endpoints. All API keys are read from environment variables declared in the skill metadata. ### Shell Safety Email delivery uses `send-email.py` which constructs proper MIME multipart messages with HTML body + optional PDF attachment. Subject formats are hardcoded (`Daily Tech Digest - YYYY-MM-DD`). PDF generation uses `generate-pdf.py` via `weasyprint`. The prompt template explicitly prohibits interpolating untrusted content (article titles, tweet text, etc.) into shell arguments. Email addresses and subjects must be static placeholder values only. ### File Access Scripts read from `config/` and write to `workspace/archive/`. No files outside the workspace are accessed. ## Support & Troubleshooting ### Common Issues 1. **RSS feeds failing**: Check network connectivity, use `--verbose` for details 2. **Twitter rate limits**: Reduce sources or increase interval 3. **Configuration errors**: Run `validate-config.py` for specific issues 4. **No articles found**: Check time window (`--hours`) and source enablement ### Debug Mode All scripts support `--verbose` flag for detailed logging and troubleshooting. ### Performance Tuning - **Parallel Workers**: Adjust `MAX_WORKERS` in scripts for your system - **Timeout Settings**: Increase `TIMEOUT` for slow networks - **Article Limits**: Adjust `MAX_ARTICLES_PER_FEED` based on needs ## Security Considerations ### Shell Execution The digest prompt instructs agents to run Python scripts via shell commands. All script paths and arguments are skill-defined constants — no user input is interpolated into commands. Two scripts use `subprocess`: - `run-pipeline.py` orchestrates child fetch scripts (all within `scripts/` directory) - `fetch-github.py` has two subprocess calls: 1. `openssl dgst -sha256 -sign` for JWT signing (only if `GH_APP_*` env vars are set — signs a self-constructed JWT payload, no user content involved) 2. `gh auth token` CLI fallback (only if `gh` is installed — reads from gh's own credential store) No user-supplied or fetched content is ever interpolated into subprocess arguments. Email delivery uses `send-email.py` which builds MIME messages programmatically — no shell interpolation. PDF generation uses `generate-pdf.py` via `weasyprint`. Email subjects are static format strings only — never constructed from fetched data. ### Credential & File Access Scripts do **not** directly read `~/.config/`, `~/.ssh/`, or any credential files. All API tokens are read from environment variables declared in the skill metadata. The GitHub auth cascade is: 1. `$GITHUB_TOKEN` env var (you control what to provide) 2. GitHub App token generation (only if you set `GH_APP_ID`, `GH_APP_INSTALL_ID`, and `GH_APP_KEY_FILE` — uses inline JWT signing via `openssl` CLI, no external scripts involved) 3. `gh auth token` CLI (delegates to gh's own secure credential store) 4. Unauthenticated (60 req/hr, safe fallback) If you prefer no automatic credential discovery, simply set `$GITHUB_TOKEN` and the script will use it directly without attempting steps 2-3. ### Dependency Installation This skill does **not** install any packages. `requirements.txt` lists optional dependencies (`feedparser`, `jsonschema`) for reference only. All scripts work with Python 3.8+ standard library. Users should install optional deps in a virtualenv if desired — the skill never runs `pip install`. ### Input Sanitization - URL resolution rejects non-HTTP(S) schemes (javascript:, data:, etc.) - RSS fallback parsing uses simple, non-backtracking regex patterns (no ReDoS risk) - All fetched content is treated as untrusted data for display only ### Network Access Scripts make outbound HTTP requests to configured RSS feeds, Twitter API, GitHub API, Reddit JSON API, Brave Search API, and Tavily Search API. No inbound connections or listeners are created. FILE:CHANGELOG.md # Changelog ## v3.15.0 — 2026-03-15 ### Added - **GetXAPI backend** for Twitter/X — new third-party API option with Bearer auth - Auto-select priority: getxapi > twitterapiio > official - New env var: `GETX_API_KEY` - Multi-format date parsing (Twitter, ISO 8601, simple datetime) - Page 2 retry logic for pagination - API key format validation - Cross-topic deduplication — each article now appears in only ONE topic (highest priority wins: llm > ai_agent > crypto > github > trending) - New test: `test_cross_topic_deduplication` ### Fixed - **RSS cache thread safety** — added `threading.RLock()` and `global` declarations - Fixes `UnboundLocalError` on Python 3.13+ (#7) - Fixes potential deadlock from nested lock acquisition - Title similarity threshold lowered (0.85 → 0.75) to catch more near-duplicates - Previous digest penalty window extended (7 → 14 days) ### Changed - Environment variables documentation reorganized with clear sections (Twitter, Web Search, GitHub, Other) - Removed subjective pricing/recommendation comments from env var docs - `run-pipeline.py` docstring updated: 5 steps → 6 steps ### Docs - Added Dependencies section to README (core + optional) - README_CN synced with English README - Moved Dependencies section after Environment Variables ## v3.14.0 — 2026-03-02 ### Changed - `BLOG_PICKS_COUNT` restored as configurable placeholder (default 3, weekly 3-5) - SKILL.md aligned with v3.13.0 features: 6-source pipeline, 151 sources, enrich/trending docs - Cron examples updated with ENRICH and BLOG_PICKS_COUNT placeholders ## v3.13.0 — 2026-03-01 ### Added - `enrich-articles.py` — full-text enrichment for high-scoring articles - Cloudflare Markdown for Agents (Accept: text/markdown) preferred - HTML readability extraction fallback - Skip list for paywalled/social/video domains - Blog domain whitelist with lower score threshold (>=3) - Parallel fetching (5 workers, 10s timeout) - Pipeline `--enrich` flag to enable enrichment after merge (default off) - `` placeholder in digest-prompt for cron control - Blog Picks section in digest (3-5 indie blog articles with summaries) - 13 HN top tech blogs added to RSS sources (49->62 feeds, 151 total) - Featured In section in README ### Changed - Digest template: 3-5 items daily, 10-15 weekly per section - Digest template: min quality_score >= 5 for topic sections - Digest template: GitHub Releases + Trending at bottom, no score prefix - Digest template: all English (output language controlled by placeholder) - Trending: top 5 + any with daily_stars_est > 50 - No dedup between GitHub Releases and Trending sections ### Fixed - `skip_set` -> `skip_steps` variable name bug in run-pipeline.py - Blog Picks section made mandatory even without enrichment ### Removed - Community Buzz section from digest template ## v3.12.0 - **GitHub Trending**: Fetch daily trending repos via GitHub Search API (4 topics, sorted by stars) - **Trending display**: Shows ⭐ total stars, +N/day growth estimate, language, description - **Quality scoring**: Trending repos scored by daily star growth (base 5 + growth/10, max 15) - **Pipeline integration**: `run-pipeline.py` runs trending as a 6th parallel step - **Merge integration**: Trending repos deduplicated and grouped by topic alongside other sources - **Tavily backend**: Dual web search backend (Tavily/Brave) with auto-detection - **Templates updated**: Discord/digest templates show trending count in stats footer ## v3.11.0 - **Tavily Search backend**: Alternative to Brave Search via `TAVILY_API_KEY` + `WEB_SEARCH_BACKEND` env - **Quality scores in output**: 🔥 score prefix on every article, strict descending order per topic - **Domain limit fix**: Exempt x.com/github.com/reddit.com from per-topic domain limits (#1) - **Brave multi-key**: `BRAVE_API_KEYS` for comma-separated key rotation - **Config naming**: User overlay files renamed to `tech-news-digest-sources.json` / `tech-news-digest-topics.json` - **Tests**: 41 unit + integration tests with real fixture data, GitHub Actions CI (Python 3.9 + 3.12) - **Docs**: Full env var alignment, Network Access/Shell Safety updates, README badges, CN sync ## v3.10.3 - **Docs**: Align API Keys & Environment with all 10 actual env vars - **Docs**: Update Network Access (add Reddit) and Shell Safety (send-email.py + generate-pdf.py) - **Refactor**: Rename user overlay configs to `tech-news-digest-sources.json` / `tech-news-digest-topics.json` to avoid naming conflicts ## v3.10.2 - **Fix domain limits**: Exempt multi-author platforms (x.com, github.com, reddit.com) from per-topic domain limits — previously 77 tweets were cut to 12 (#1) - **Brave multi-key**: Prefer `BRAVE_API_KEYS` (comma-separated) over `BRAVE_API_KEY` for key rotation in `fetch-web.py` ## v3.10.1 - **Fix email MIME**: New `send-email.py` — proper multipart MIME construction for HTML body + PDF attachment (replaces broken `mail -a -A` approach) - **Docs alignment**: README + SKILL.md updated to v3.10 (source counts, PDF, all scripts documented) ## v3.10.0 - **PDF generation**: New `generate-pdf.py` script — converts markdown digest to styled A4 PDF with Chinese typography (Noto Sans CJK SC), emoji icons, page headers/footers, blue accent theme. Requires `weasyprint`. - **PDF template**: `references/templates/pdf.md` with usage docs and examples ## v3.9.1 - Remove unused markdown and telegram templates - Add `sanitize-html.py` for safe markdown→HTML email conversion (XSS-safe, inline CSS) ## v3.9.0 - **URL-based dedup**: merge-sources now deduplicates by normalized URL (domain+path) before title similarity, catching cross-source duplicates - **Brave rate limit caching**: `detect_brave_rate_limit()` results cached for 24h; supports `BRAVE_PLAN=free|pro` env override - **source-health**: Now tracks Reddit (`--reddit`) and Web (`--web`) sources; flexible key detection - **run-pipeline**: `--skip` (comma-separated step names) and `--reuse-dir` (reuse intermediate outputs) for partial reruns ## v3.8.1 - **merge-sources**: Fix `getattr` → direct `args.reddit`; domain limit stats now accurate; SequenceMatcher early-exit for >30% length diff - **merge-sources**: RSS priority sources get +2 extra score bonus (prevent drowning by low-engagement tweets) - **run-pipeline**: Add `--twitter-backend` parameter (transparent passthrough); clean up tmp dir after success - **fetch-rss**: Warn when feedparser not installed (basic regex parser fallback) - **config_loader**: Validate required fields (id, type, enabled) on source load, skip invalid with warning ## v3.8.0 - **twitterapiio pagination**: Fetches up to 2 pages (40 tweets) for high-volume users; logs truncation warning - **Unified tweet limit**: `MAX_TWEETS_PER_USER` 10→20 for official backend (matches twitterapiio) - **Shared result helpers**: `_make_result()` / `_make_error()` on base class, reduces duplication - **Smarter rate limiting**: `RateLimiter` class with `threading.Lock` for twitterapiio (5 QPS); replaces per-thread sleep - **Retry improvements**: `RETRY_COUNT` 1→2 (3 attempts); twitterapiio 429 wait 60s→5s - **Tweet text limit**: 200→280 chars (matches Twitter's actual limit) - **Empty result format**: Now matches normal output structure for consistent downstream parsing - **Removed redundant isReply filter** in twitterapiio (API already excludes replies) ## v3.7.1 - **twitterapi.io bugfix**: Fix response envelope parsing (`data.tweets` not top-level `tweets`) - **twitterapi.io concurrency**: 3-worker parallel fetch with progress logs showing tweet counts and top likes - **test-pipeline.sh revamp**: `--only`, `--skip`, `--topics`, `--ids`, `--twitter-backend` filtering; per-step timing; detailed `--help` ## v3.7.0 - **twitterapi.io backend**: Alternative Twitter data source via `TWITTERAPI_IO_KEY` — no username→ID resolution needed, simpler API, same normalized output format - **Backend auto-detection**: `TWITTER_API_BACKEND=auto` (default) uses twitterapi.io if key is set, else falls back to official X API v2 - **`--backend` CLI arg**: Override env var per invocation (`official`, `twitterapiio`, `auto`) - **Backend abstraction**: `fetch-twitter.py` refactored with `TwitterBackend` base class and two implementations (`OfficialBackend`, `TwitterApiIoBackend`) ## v3.6.3 - Add GitHub source: zeroclaw-labs/zeroclaw (137→138 total, 27→28 GitHub) ## v3.6.2 - Add 3 GitHub sources: cloudflare/moltworker, sipeed/picoclaw, HKUDS/nanobot (134→137 total, 24→27 GitHub) ## v3.6.1 - Prompt review & optimization pass (no functional changes) ## v3.6.0 - Simplify digest-prompt: 232→122 lines (-47%), remove fallback scripts block, merge redundant rules - Add optional `` placeholder for sender display name - Add "Environment vs Code" separation rule to CONTRIBUTING.md ## v3.5.1 - Email delivery: prefer `mail` (msmtp) over `gog`, remove redundant fallback options - Require email content to match Discord (no abbreviation or skipped sections) - Add CONTRIBUTING.md with development conventions ## v3.5.0 - **Unified source count**: 134 sources (49 RSS + 48 Twitter + 24 GitHub + 13 Reddit) - Updated README source counts and sub-totals ## v3.4.9 - Declare `openssl` as optional binary in SKILL.md (used for GitHub App JWT signing) ## v3.4.8 - **New `summarize-merged.py` helper**: Outputs structured human-readable summary of merged data, sorted by quality score with metrics/sources - **Prevent ad-hoc JSON parsing**: `digest-prompt.md` now instructs agents to use `summarize-merged.py` instead of writing inline Python (which often failed with `AttributeError` on nested structures) ## v3.4.7 - **Inline GitHub App JWT signing**: Remove `GH_APP_TOKEN_SCRIPT` env var entirely. Token generation now built into `fetch-github.py` using `openssl` CLI for RS256 signing — no external scripts executed, no arbitrary code execution risk. - Only 3 env vars needed: `GH_APP_ID`, `GH_APP_INSTALL_ID`, `GH_APP_KEY_FILE` - Remove unused imports, fix bare excepts across all scripts ## v3.4.6 - Add `reddit` to config/schema.json source type enum (was missing, caused validation mismatch) - Rename all archive paths `tech-digest/` → `tech-news-digest/` for consistency - Fix Discord template: default delivery is channel (via DISCORD_CHANNEL_ID), not DM - GH_APP_TOKEN_SCRIPT: add trust warning in code and env var description - Path placeholders: SKILL.md uses `/` consistently with digest-prompt.md ## v3.4.5 - Fix source count inconsistencies across docs (131/132 → 133: 49 RSS + 49 Twitter + 22 GitHub + 13 Reddit) - Rename legacy `tech-digest` references to `tech-news-digest` in comments, descriptions, and cache file paths ## v3.4.4 - Remove hardcoded Discord channel ID from SKILL.md (use `` placeholder) - Cron prompt examples: Chinese → English, default LANGUAGE = English - Remove outdated "Migration from v1.x" section ## v3.4.3 - **Audit compliance**: Address all ClawHub Code Insights findings: - Declare `gh` as optional binary in SKILL.md metadata - Document credential access cascade and file access scope in security section - Add "Dependency Installation" section clarifying skill never runs `pip install` - Explicitly state scripts do not read `~/.config/`, `~/.ssh/`, or arbitrary credential files ## v3.4.2 - **Remove hardcoded GitHub App credentials**: App ID, install ID, key file path, and token script path now read exclusively from env vars (`GH_APP_ID`, `GH_APP_INSTALL_ID`, `GH_APP_KEY_FILE`, `GH_APP_TOKEN_SCRIPT`). No defaults — if not set, this auth method is silently skipped. - **Declare new env vars in SKILL.md**: All 4 GitHub App env vars declared in metadata - **Fix security docs**: Updated Shell Execution section to accurately describe `subprocess.run()` usage in `run-pipeline.py` and `fetch-github.py` ## v3.4.1 - **KOL Display Names**: KOL Updates section now shows "Sam Altman (@sama)" instead of bare "@sama" across all templates (Discord, Email, Telegram) - **`display_name` in Merged JSON**: `merge-sources.py` propagates Twitter source `name` to article-level `display_name` field, eliminating need to re-read raw Twitter data - **New Twitter Sources**: Added @OpenClawAI (official) and @steipete (Peter Steinberger), total 49 Twitter KOLs / 133 sources - **Enforce Unified Pipeline**: `digest-prompt.md` now says "You MUST use" `run-pipeline.py`, individual steps demoted to `

` fallback with `--force` flags ## v3.4.0 - **Unified Pipeline**: New `run-pipeline.py` runs all 5 fetch steps (RSS, Twitter, GitHub, Reddit, Web) in parallel, then merges — total ~30s vs ~3-4min sequential. Digest prompt updated to use this by default. - **Reddit Parallel Fetch**: `fetch-reddit.py` now uses `ThreadPoolExecutor(max_workers=4)` instead of sequential requests with `sleep(1)` - **Reddit 403 Fix**: Added explicit `ssl.create_default_context()` and `Accept-Language` header to fix Reddit blocking Python's default `urllib` TLS fingerprint - **Brave API Auto-Concurrency**: `fetch-web.py` probes `x-ratelimit-limit` header at startup — paid plans auto-switch to parallel queries, free plans stay sequential - **GitHub Auto-Auth**: `fetch-github.py` resolves tokens in priority order: `$GITHUB_TOKEN` → GitHub App auto-generate → `gh` CLI → unauthenticated. No manual token setup needed if GitHub App credentials exist. - **Timeout Increase**: All fetch scripts 15s → 30s per HTTP request; pipeline per-step subprocess 120s → 180s - **Pipeline Metadata**: `run-pipeline.py` saves `*.meta.json` with per-step timing, counts, and status ## v3.3.2 - **Declare tools and file access**: Added `tools` (python3 required, gog optional) and `files` (read/write paths) to SKILL.md metadata, addressing VirusTotal "undeclared tools/binaries" and "modify workspace files" audit findings - **Added `metadata.openclaw.requires`**: Declares `python3` binary dependency ## v3.3.1 - **Remove anthropic-rss mirror**: Removed third-party community RSS mirror (`anthropic-rss`) to eliminate supply chain risk flagged by VirusTotal Code Insights. Anthropic coverage remains via Twitter KOL, GitHub releases, and Reddit sources. - **Remove Third-Party RSS Sources section** from SKILL.md security docs (no longer applicable) ## v3.3.0 - **RSS Domain Validation**: New `expected_domains` field in sources.json rejects articles from unexpected origins (applied to anthropic-rss mirror) - **Email Shell Safety**: HTML body written to temp file before CLI delivery; subjects restricted to static format strings - **Discord Embed Suppression**: Footer links wrapped in `<>` to prevent preview embeds ## v3.2.1 - **Mandatory Reddit Execution**: Agent explicitly required to run `fetch-reddit.py` script — cannot skip or generate fake output ## v3.2.0 - **Unified English Templates**: All prompt instructions, section titles, stats footer, and example content standardized to English. Output language controlled by `` placeholder at runtime. ## v3.1.0 - **Executive Summary**: 2-4 sentence overview of top stories at the beginning of each digest - **Community Buzz Section**: Merged Twitter/X Trending and Reddit Hot Discussions into unified 🔥 社区热议 - **Reddit in Topic Sections**: Reddit posts now selected by quality_score alongside other sources - **Digest Footer Branding**: Shows skill version and OpenClaw link - **Prompt Fix**: Agent explicitly instructed to read Reddit data from merged JSON ## v3.0.0 - **Reddit Data Source**: New `fetch-reddit.py` script — 5th data layer using Reddit's public JSON API (no auth required). 13 subreddits: r/MachineLearning, r/LocalLLaMA, r/CryptoCurrency, r/artificial, r/ethereum, r/ChatGPT, r/singularity, r/OpenAI, r/Bitcoin, r/programming, r/Anthropic, r/defi, r/ExperiencedDevs - **Reddit Score Bonus**: Posts with score > 500 get +5, > 200 get +3, > 100 get +1 in quality scoring - **10 New Non-Reddit Sources**: Ben's Bites, The Decoder, a16z Crypto, Bankless (RSS); @ClementDelangue, @GregBrockman, @zuck (Twitter); MCP Servers, DeepSeek-V3, Meta Llama (GitHub) - **Tweet Engagement Metrics**: KOL entries display `👁|💬|🔁|❤️` stats in inline code blocks across all templates - **Date Timezone Fix**: Report date explicitly provided via `` placeholder, preventing UTC/local mismatch - **Mandatory Links**: KOL Updates and Twitter/X Trending sections require source URLs for every entry - **Graceful Twitter Degradation**: Missing `X_BEARER_TOKEN` outputs empty JSON instead of failing - **URL Sanitization**: `resolve_link()` rejects non-HTTP(S) schemes - **Security Documentation**: Added Security Considerations section to SKILL.md - **Total Sources**: 132 (50 RSS + 47 Twitter + 22 GitHub + 13 Reddit + 4 web search topics) ## v2.8.1 - **Metrics Data Fix**: Agent now required to read actual `metrics` values from Twitter JSON data instead of defaulting to 0 - **Email Template Enhancement**: Added KOL metrics and Twitter/X Trending section to email template ## v2.8.0 - **Tweet Metrics Display**: KOL entries show `👁|💬|🔁|❤️` engagement stats wrapped in inline code to prevent emoji enlargement on Discord - **Standardized Metrics Format**: Fixed 4-metric order, show 0 for missing values, one tweet per bullet with own URL - **10 New Sources (119 total)**: Ben's Bites, The Decoder, a16z Crypto, Bankless (RSS); @ClementDelangue, @GregBrockman, @zuck (Twitter); MCP Servers, DeepSeek-V3, Meta Llama (GitHub) ## v2.7.0 - **Tweet Engagement Metrics**: KOL Updates now display 👁 views, 💬 replies, 🔁 retweets, ❤️ likes from Twitter public_metrics across all templates (Discord, Email, Telegram) ## v2.6.1 - **Graceful Twitter Degradation**: Missing `X_BEARER_TOKEN` now outputs empty JSON and exits 0 instead of failing with exit code 1, allowing the pipeline to continue without Twitter data ## v2.6.0 - **Date Timezone Fix**: Added `` placeholder to digest prompt — report date now explicitly provided by caller, preventing UTC/local timezone mismatch - **Mandatory Links in KOL/Trending**: KOL Updates and Twitter/X Trending sections now require source URLs for every entry (no link-free entries allowed) - **URL Sanitization**: `resolve_link()` in fetch-rss.py rejects non-HTTP(S) schemes (javascript:, data:, etc.) - **Third-Party Source Annotation**: Community-maintained RSS mirrors (e.g. anthropic-rss) are annotated with notes in sources.json - **Security Documentation**: Added Security Considerations section to SKILL.md covering shell execution model, input sanitization, and network access ## v2.5.0 - **Twitter Reply Filter Fix**: Use `referenced_tweets` field instead of text prefix to distinguish replies from mentions - **Scoring Consistency**: digest-prompt.md now matches code (`PENALTY_OLD_REPORT = -5`) - **Template Version Cleanup**: Removed hardcoded version numbers from email/markdown/telegram templates - **Article Count Fix**: `merge-sources.py` uses deduplicated count instead of inflated topic-grouped sum - **Pipeline Resume Support**: All fetch scripts support `--force` flag; skip if cached output < 1 hour old - **Source Health Monitoring**: New `scripts/source-health.py` tracks per-source success/failure history - **End-to-End Test**: New `scripts/test-pipeline.sh` smoke test for the full pipeline - **Archive Auto-Cleanup**: digest-prompt.md documents 90-day archive retention policy - **Twitter Rate Limiting**: Moved sleep into `fetch_user_tweets` for actual per-request rate limiting - **Web Article Scoring**: Web articles now use `calculate_base_score` instead of hardcoded 1.0 - **Dead Code Removal**: Removed unused `load_sources_with_overlay` / `load_topics_with_overlay` wrappers ## v2.4.0 - **Batch Twitter Lookup**: Single API call for all username→ID resolution + 7-day local cache (~88→~45 API calls) - **Smart Dedup**: Token-based bucketing replaces O(n²) SequenceMatcher — only compares articles sharing 2+ key tokens - **Conditional Fetch (RSS)**: ETag/Last-Modified caching, 304 responses skip parsing - **Conditional Fetch (GitHub)**: Same caching pattern + prominent warning when GITHUB_TOKEN is unset - **`--no-cache` flag**: All fetch scripts support bypassing cache ## v2.3.0 - **GitHub Releases**: 19 tracked repositories as a fourth data source - **Data Source Stats Footer**: Pipeline statistics in all templates - **Twitter Queries**: Added to all 4 topics for better coverage - **Simplified Cron Prompts**: Reference digest-prompt.md with parameters only ## v2.1.0 - **Unified Source Model**: Single `sources.json` for RSS, Twitter, and web sources - **Enhanced Topics**: Richer topic definitions with search queries and filters - **Pipeline Scripts**: Modular fetch → merge → template workflow - **Quality Scoring**: Multi-source detection, deduplication, priority weighting - **Multiple Templates**: Discord, email, and markdown output formats - **Configuration Validation**: JSON schema validation and consistency checks - **User Customization**: Workspace config overrides for personalization FILE:CONTRIBUTING.md # Contributing / Development Conventions ## Version Management - **SemVer**: `SKILL.md` frontmatter `version` field is the single source of truth - **CHANGELOG.md**: reverse-chronological, update with every version bump - Every change must update **both** `SKILL.md version` + `CHANGELOG.md` + git commit & push - Changelog version format: `## v3.5.0` (prefixed with `v`) ## Code Conventions - All prompts, templates, comments, and code in **English** - Output language controlled at runtime via `LANGUAGE` variable - Python: use `except Exception:` — never bare `except:` - No hardcoded credentials — all secrets via environment variables - When adding data sources, update `sources.json` schema **and** README source count ## Security - ClawHub audit compliance: declare all `tools`/`bins`, file read/write paths, credential access in SKILL.md metadata - No third-party untrusted RSS mirrors (supply chain risk) - HTML email bodies written to temp files before CLI delivery - Subjects restricted to static format strings (no injection) - Discord embed suppression: wrap links in `<>` to prevent previews ## Debugging - Full pipeline: `python3 scripts/run-pipeline.py --verbose --force` - Each step generates `*.meta.json` with timing, counts, and status - Individual scripts can be run standalone for targeted debugging ## File Structure ``` SKILL.md — Skill metadata (version, env vars, tools, files) CHANGELOG.md — Version history README.md — English docs README_CN.md — Chinese docs config/defaults/ — Default sources.json, topics.json references/ — digest-prompt.md, output templates scripts/ — Python pipeline scripts ``` ## Environment vs Code - **Never push environment-specific config to repo** — email sender names, API keys, file paths, channel IDs, timezone settings, etc. belong in local workspace config or env vars, not in skill code - Repo code uses `` patterns; actual values are substituted at runtime - Local overrides go in `workspace/config/`, not in `config/defaults/` ## Git Workflow - Commit messages: concise English, describe what changed - Push to `main` branch on github.com/draco-agent/tech-news-digest - No feature branches for solo development (direct to main) FILE:README.md # Tech News Digest > Automated tech news digest — 151 sources, 6-source pipeline, one chat message to install. **English** | [中文](README_CN.md) [![Tests](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml/badge.svg)](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/) [![ClawHub](https://img.shields.io/badge/ClawHub-tech--news--digest-blueviolet)](https://clawhub.com/draco-agent/tech-news-digest) [![MIT License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE) ## 💬 Install in One Message Tell your [OpenClaw](https://openclaw.ai) AI assistant: > **"Install tech-news-digest and send a daily digest to #tech-news every morning at 9am"** That's it. Your bot handles installation, configuration, scheduling, and delivery — all through conversation. More examples: > 🗣️ "Set up a weekly AI digest, only LLM and AI Agent topics, deliver to Discord #ai-weekly every Monday" > 🗣️ "Install tech-news-digest, add my RSS feeds, and send crypto news to Telegram" > 🗣️ "Give me a tech digest right now, skip Twitter sources" Or install via CLI: ```bash clawhub install tech-news-digest ``` ## 📊 What You Get A quality-scored, deduplicated tech digest built from **151 sources**: | Layer | Sources | What | |-------|---------|------| | 📡 RSS | 49 feeds | OpenAI, Anthropic, Ben's Bites, HN, 36氪, CoinDesk… | | 🐦 Twitter/X | 48 KOLs | @karpathy, @VitalikButerin, @sama, @elonmusk… | | 🔍 Web Search | 4 topics | Tavily or Brave Search API with freshness filters | | 🐙 GitHub | 28 repos | Releases from key projects (LangChain, vLLM, DeepSeek, Llama…) | | 🗣️ Reddit | 13 subs | r/MachineLearning, r/LocalLLaMA, r/CryptoCurrency… | ### Pipeline ``` run-pipeline.py (~30s) ↓ RSS ────────┐ Twitter ────┤ Web ────────┤── parallel fetch ──→ merge-sources.py GitHub ─────┤ ↓ GitHub Tr. ─┤ enrich-articles.py (opt-in) Reddit ─────┘ ↓ Quality Scoring → Dedup → Topic Grouping ↓ Discord / Email / PDF output ``` **Quality scoring**: priority source (+3), multi-source cross-ref (+5), recency (+2), engagement (+1), Reddit score bonus (+1/+3/+5), already reported (-5). ## ⚙️ Configuration - `config/defaults/sources.json` — 151 built-in sources (62 RSS, 48 Twitter, 28 GitHub, 13 Reddit) - `config/defaults/topics.json` — 4 topics with search queries & Twitter queries - User overrides in `workspace/config/` take priority ## 🎨 Customize Your Sources Works out of the box with 151 built-in sources (62 RSS, 48 Twitter, 28 GitHub, 13 Reddit) — but fully customizable. Copy the defaults to your workspace config and override: ```bash # Copy and customize cp config/defaults/sources.json workspace/config/tech-news-digest-sources.json cp config/defaults/topics.json workspace/config/tech-news-digest-topics.json ``` Your overlay file **merges** with defaults: - **Override** a source by matching its `id` — your version replaces the default - **Add** new sources with a unique `id` — appended to the list - **Disable** a built-in source — set `"enabled": false` on the matching `id` ```json { "sources": [ {"id": "my-blog", "type": "rss", "enabled": true, "url": "https://myblog.com/feed", "topics": ["llm"]}, {"id": "openai-blog", "enabled": false} ] } ``` No need to copy the entire file — just include what you want to change. ## 🔧 Environment Variables All environment variables are optional. The pipeline runs with whatever sources are available. ```bash # Twitter/X Backend (auto priority: getxapi > twitterapiio > official) export GETX_API_KEY="..." # GetXAPI export TWITTERAPI_IO_KEY="..." # twitterapi.io export X_BEARER_TOKEN="..." # Official X API v2 export TWITTER_API_BACKEND="auto" # auto|getxapi|twitterapiio|official # Web Search export TAVILY_API_KEY="tvly-xxx" # Tavily Search API export BRAVE_API_KEYS="k1,k2,k3" # Brave Search API keys (comma-separated for rotation) export BRAVE_API_KEY="..." # Single Brave key export WEB_SEARCH_BACKEND="auto" # auto|brave|tavily # GitHub export GITHUB_TOKEN="..." # GitHub API # Other export BRAVE_PLAN="free" # Override Brave rate limit: free|pro ``` ## 📦 Dependencies ### Core (required) The skill requires Python 3.8+ and two optional dependencies for enhanced functionality: ```bash pip install -r requirements.txt # or pip install feedparser>=6.0.0 jsonschema>=4.0.0 ``` - **feedparser** — RSS/Atom feed parsing (fallback to regex if not installed) - **jsonschema** — JSON Schema validation for config files ### Optional ```bash pip install weasyprint ``` - **weasyprint** — Enables PDF report generation ## 📂 Repository **GitHub**: [github.com/draco-agent/tech-news-digest](https://github.com/draco-agent/tech-news-digest) ## 🌟 Featured In - [Awesome OpenClaw Use Cases](https://github.com/hesamsheikh/awesome-openclaw-usecases) — Community-curated collection of OpenClaw agent use cases ## 📄 License MIT License — see [LICENSE](LICENSE) for details. FILE:README_CN.md # Tech News Digest > 自动化科技资讯汇总 — 151 个数据源，5 层管道，一句话安装。 [English](README.md) | **中文** [![Tests](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml/badge.svg)](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/) [![ClawHub](https://img.shields.io/badge/ClawHub-tech--news--digest-blueviolet)](https://clawhub.com/draco-agent/tech-news-digest) [![MIT License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE) ## 💬 一句话安装跟你的 [OpenClaw](https://openclaw.ai) AI 助手说： > **"安装 tech-news-digest，每天早上 9 点发科技日报到 #tech-news 频道"** 搞定。Bot 会自动安装、配置、定时、推送——全程对话完成。更多示例： > 🗣️ "配置一个每周 AI 周报，只要 LLM 和 AI Agent 板块，每周一发到 Discord #ai-weekly" > 🗣️ "安装 tech-news-digest，加上我的 RSS 源，发送科技新闻到 Telegram" > 🗣️ "现在就给我生成一份科技日报，跳过 Twitter 数据源" 或通过 CLI 安装： ```bash clawhub install tech-news-digest ``` ## 📊 你会得到什么基于 **151 个数据源** 的质量评分、去重科技日报： | 层级 | 数量 | 内容 | |------|------|------| | 📡 RSS | 49 个订阅源 | OpenAI、Anthropic、Ben's Bites、HN、36氪、CoinDesk… | | 🐦 Twitter/X | 48 个 KOL | @karpathy、@VitalikButerin、@sama、@elonmusk… | | 🔍 Web 搜索 | 4 个主题 | Tavily 或 Brave Search API + 时效过滤 | | 🐙 GitHub | 28 个仓库 | 关键项目的 Release 跟踪（LangChain、vLLM、DeepSeek、Llama…） | | 🗣️ Reddit | 13 个子版块 | r/MachineLearning、r/LocalLLaMA、r/CryptoCurrency… | ### 数据管道 ``` run-pipeline.py (~30秒) ↓ RSS ─┐ Twitter ─┤ Web ─────┤── 并行采集 ──→ merge-sources.py GitHub ──┤ Reddit ──┘ ↓ 质量评分 → 去重 → 主题分组 ↓ Discord / 邮件 / PDF 输出 ``` **质量评分**：优先级源 (+3)、多源交叉验证 (+5)、时效性 (+2)、互动度 (+1~+5)、Reddit 热度加分 (+1/+3/+5)、已报道过 (-5)。 ## ⚙️ 配置 - `config/defaults/sources.json` — 151 个内置数据源 - `config/defaults/topics.json` — 4 个主题，含搜索查询和 Twitter 查询 - 用户自定义配置放 `workspace/config/`，优先级更高 ## 🎨 自定义数据源开箱即用，内置 151 个数据源——但完全可自定义。将默认配置复制到 workspace 并覆盖： ```bash # 复制并自定义 cp config/defaults/sources.json workspace/config/tech-news-digest-sources.json cp config/defaults/topics.json workspace/config/tech-news-digest-topics.json ``` 你的配置文件会与默认配置**合并**： - **覆盖**：`id` 匹配的源会被你的版本替换 - **新增**：使用新的 `id` 即可添加自定义源 - **禁用**：对匹配的 `id` 设置 `"enabled": false` ```json { "sources": [ {"id": "my-blog", "type": "rss", "enabled": true, "url": "https://myblog.com/feed", "topics": ["llm"]}, {"id": "openai-blog", "enabled": false} ] } ``` 不需要复制整个文件——只写你要改的部分。 ## 🔧 环境变量 # Twitter/X 后端（自动优先级：getxapi > twitterapiio > official） export GETX_API_KEY="..." # GetXAPI export TWITTERAPI_IO_KEY="..." # twitterapi.io export X_BEARER_TOKEN="..." # Twitter/X 官方 API v2 export TWITTER_API_BACKEND="auto" # auto|getxapi|twitterapiio|official # 网页搜索 export TAVILY_API_KEY="tvly-xxx" # Tavily Search API export BRAVE_API_KEYS="k1,k2,k3" # Brave Search API 密钥（逗号分隔用于轮换） export BRAVE_API_KEY="..." # 单个密钥 export WEB_SEARCH_BACKEND="auto" # auto|brave|tavily # GitHub export GITHUB_TOKEN="..." # GitHub API # 其他 export BRAVE_PLAN="free" # 覆盖速率限制检测：free|pro ## 📦 依赖 ### 核心依赖本技能需要 Python 3.8+ 和两个可选依赖以增强功能： ```bash pip install -r requirements.txt # 或 pip install feedparser>=6.0.0 jsonschema>=4.0.0 ``` - **feedparser** — RSS/Atom 订阅源解析（未安装时回退到正则匹配） - **jsonschema** — 配置文件的 JSON Schema 验证 ### 可选依赖 ```bash pip install weasyprint ``` - **weasyprint** — 启用 PDF 报告生成 ## 🧪 测试 ```bash python -m unittest discover -s tests -v # 41 个测试，纯标准库 ``` ## 📂 仓库地址 **GitHub**: [github.com/draco-agent/tech-news-digest](https://github.com/draco-agent/tech-news-digest) ## 🌟 相关引用 - [Awesome OpenClaw Use Cases](https://github.com/hesamsheikh/awesome-openclaw-usecases) — OpenClaw 社区精选用例合集 ## 📄 开源协议 MIT License — 详见 [LICENSE](LICENSE) FILE:config/defaults/sources.json { "_description": "Unified data sources configuration. RSS feeds, Twitter/X KOLs, and web search sources. Each source binds to topics and has enabled/priority fields.", "_updated": "2025-06-02", "_version": "2.5.0", "sources": [ { "id": "simonwillison-rss", "type": "rss", "name": "Simon Willison", "url": "https://simonwillison.net/atom/everything/", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "LLM/AI tooling, prolific blogger" }, { "id": "garymarcus-rss", "type": "rss", "name": "Gary Marcus", "url": "https://garymarcus.substack.com/feed", "enabled": true, "priority": true, "topics": [ "llm", "frontier-tech" ], "note": "AI critic, industry analysis" }, { "id": "huggingface-rss", "type": "rss", "name": "Hugging Face Blog", "url": "https://huggingface.co/blog/feed.xml", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent" ], "note": "Open source AI/ML" }, { "id": "openai-rss", "type": "rss", "name": "OpenAI Blog", "url": "https://openai.com/blog/rss.xml", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "Official OpenAI updates" }, { "id": "sebas-rss", "type": "rss", "name": "Sebastian Raschka", "url": "https://magazine.sebastianraschka.com/feed", "enabled": true, "priority": true, "topics": [ "llm", "frontier-tech" ], "note": "LLM research and tutorials" }, { "id": "lilian-rss", "type": "rss", "name": "Lil'Log (Lilian Weng)", "url": "https://lilianweng.github.io/index.xml", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "In-depth ML tutorials" }, { "id": "gwern-rss", "type": "rss", "name": "Gwern", "url": "https://gwern.substack.com/feed", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "Deep AI/ML research essays" }, { "id": "dwarkesh-rss", "type": "rss", "name": "Dwarkesh Patel", "url": "https://www.dwarkeshpatel.com/feed", "enabled": true, "priority": false, "topics": [ "llm", "ai-agent" ], "note": "AI interviews and analysis" }, { "id": "minimaxir-rss", "type": "rss", "name": "minimaxir (Max Woolf)", "url": "https://minimaxir.com/index.xml", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "LLM benchmarks and experiments" }, { "id": "googleai-rss", "type": "rss", "name": "Google AI Blog", "url": "https://blog.google/technology/ai/rss/", "enabled": true, "priority": false, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "Google AI research" }, { "id": "vitalik-rss", "type": "rss", "name": "Vitalik Buterin", "url": "https://vitalik.eth.limo/feed.xml", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Ethereum founder" }, { "id": "coindesk-rss", "type": "rss", "name": "CoinDesk", "url": "https://www.coindesk.com/arc/outboundfeeds/rss/", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Major crypto news" }, { "id": "theblock-rss", "type": "rss", "name": "The Block", "url": "https://www.theblock.co/rss.xml", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Crypto news" }, { "id": "decrypt-rss", "type": "rss", "name": "Decrypt", "url": "https://decrypt.co/feed", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "Crypto and web3 news" }, { "id": "cointelegraph-rss", "type": "rss", "name": "Cointelegraph", "url": "https://cointelegraph.com/rss", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "Crypto news and analysis" }, { "id": "hn-rss", "type": "rss", "name": "Hacker News Frontpage", "url": "https://hnrss.org/frontpage", "enabled": true, "priority": true, "topics": [ "frontier-tech" ], "note": "HN top stories" }, { "id": "ars-rss", "type": "rss", "name": "Ars Technica", "url": "https://feeds.arstechnica.com/arstechnica/index", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Tech news" }, { "id": "techcrunch-rss", "type": "rss", "name": "TechCrunch", "url": "https://techcrunch.com/feed/", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Startup and tech news" }, { "id": "verge-rss", "type": "rss", "name": "The Verge", "url": "https://www.theverge.com/rss/index.xml", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Tech news" }, { "id": "krebs-rss", "type": "rss", "name": "Krebs on Security", "url": "https://krebsonsecurity.com/feed/", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Cybersecurity" }, { "id": "daringfireball-rss", "type": "rss", "name": "Daring Fireball", "url": "https://daringfireball.net/feeds/main", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Apple/tech commentary" }, { "id": "pg-rss", "type": "rss", "name": "Paul Graham", "url": "http://www.aaronsw.com/2002/feeds/pgessays.rss", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Startups and tech essays" }, { "id": "troyhunt-rss", "type": "rss", "name": "Troy Hunt", "url": "https://www.troyhunt.com/rss/", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Security, HIBP" }, { "id": "antirez-rss", "type": "rss", "name": "antirez", "url": "http://antirez.com/rss", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Redis creator, systems" }, { "id": "mitchellh-rss", "type": "rss", "name": "Mitchell Hashimoto", "url": "https://mitchellh.com/feed.xml", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Ghostty, infrastructure" }, { "id": "geohot-rss", "type": "rss", "name": "Geohot", "url": "https://geohot.github.io/blog/feed.xml", "enabled": true, "priority": false, "topics": [ "frontier-tech", "llm" ], "note": "tinygrad, AI infrastructure" }, { "id": "ml-reddit-rss", "type": "rss", "name": "r/MachineLearning", "url": "https://www.reddit.com/r/MachineLearning/.rss", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "Reddit ML community" }, { "id": "36kr-rss", "type": "rss", "name": "36氪", "url": "https://36kr.com/feed", "enabled": true, "priority": true, "topics": [ "frontier-tech", "crypto" ], "note": "中文科技媒体" }, { "id": "synced-rss", "type": "rss", "name": "机器之心 Synced", "url": "https://www.jiqizhixin.com/rss", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "中文AI媒体" }, { "id": "qbitai-rss", "type": "rss", "name": "量子位 QbitAI", "url": "https://www.qbitai.com/feed", "enabled": true, "priority": false, "topics": [ "llm", "ai-agent" ], "note": "中文AI媒体 (may 403)" }, { "id": "infoq-rss", "type": "rss", "name": "InfoQ 中文", "url": "https://www.infoq.cn/feed", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "技术社区" }, { "id": "sama-twitter", "type": "twitter", "name": "Sam Altman (OpenAI CEO)", "handle": "sama", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "OpenAI CEO" }, { "id": "openai-twitter", "type": "twitter", "name": "OpenAI official", "handle": "OpenAI", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "OpenAI official" }, { "id": "anthropic-twitter", "type": "twitter", "name": "Anthropic official", "handle": "AnthropicAI", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "Anthropic official" }, { "id": "ylecun-twitter", "type": "twitter", "name": "Yann LeCun (Meta AI)", "handle": "ylecun", "enabled": true, "priority": true, "topics": [ "llm", "frontier-tech" ], "note": "Meta AI" }, { "id": "mistral-twitter", "type": "twitter", "name": "Mistral AI official", "handle": "MistralAI", "enabled": true, "priority": true, "topics": [ "llm", "frontier-tech" ], "note": "Mistral AI official" }, { "id": "deepmind-twitter", "type": "twitter", "name": "Google DeepMind official", "handle": "GoogleDeepMind", "enabled": true, "priority": true, "topics": [ "llm", "frontier-tech" ], "note": "Google DeepMind official" }, { "id": "googleai-twitter", "type": "twitter", "name": "Google AI official", "handle": "GoogleAI", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "Google AI official" }, { "id": "xai-twitter", "type": "twitter", "name": "xAI official", "handle": "xai", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "xAI official" }, { "id": "karpathy-twitter", "type": "twitter", "name": "Andrej Karpathy", "handle": "karpathy", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "AI researcher" }, { "id": "andrewng-twitter", "type": "twitter", "name": "Andrew Ng", "handle": "AndrewYNg", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent" ], "note": "AI educator" }, { "id": "jimfan-twitter", "type": "twitter", "name": "Jim Fan (NVIDIA)", "handle": "DrJimFan", "enabled": true, "priority": true, "topics": [ "ai-agent", "frontier-tech" ], "note": "NVIDIA AI" }, { "id": "hf-twitter", "type": "twitter", "name": "Hugging Face official", "handle": "huggingface", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent" ], "note": "Hugging Face official" }, { "id": "langchain-twitter", "type": "twitter", "name": "LangChain official", "handle": "LangChain", "enabled": true, "priority": false, "topics": [ "ai-agent" ], "note": "LangChain official" }, { "id": "llamaindex-twitter", "type": "twitter", "name": "LlamaIndex official", "handle": "llama_index", "enabled": true, "priority": false, "topics": [ "ai-agent" ], "note": "LlamaIndex official" }, { "id": "emad-twitter", "type": "twitter", "name": "Emad Mostaque", "handle": "EMostaque", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "Stability AI" }, { "id": "sebastian-twitter", "type": "twitter", "name": "Sebastian Raschka", "handle": "rasbt", "enabled": true, "priority": false, "topics": [ "llm", "frontier-tech" ], "note": "AI researcher" }, { "id": "vitalik-twitter", "type": "twitter", "name": "Vitalik Buterin (Ethereum)", "handle": "VitalikButerin", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Ethereum founder" }, { "id": "cz-twitter", "type": "twitter", "name": "CZ (Binance)", "handle": "cz_binance", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Binance" }, { "id": "brian-twitter", "type": "twitter", "name": "Brian Armstrong (Coinbase)", "handle": "brian_armstrong", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "Coinbase" }, { "id": "saylor-twitter", "type": "twitter", "name": "Michael Saylor (MicroStrategy)", "handle": "saylor", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "MicroStrategy" }, { "id": "pomp-twitter", "type": "twitter", "name": "Anthony Pompliano", "handle": "APompliano", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "Crypto influencer" }, { "id": "zachxbt-twitter", "type": "twitter", "name": "ZachXBT", "handle": "zachxbt", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "on-chain investigator" }, { "id": "wu-twitter", "type": "twitter", "name": "Wu Blockchain", "handle": "WuBlockchain", "enabled": true, "priority": true, "topics": [ "crypto" ], "note": "吴说区块链" }, { "id": "discus-twitter", "type": "twitter", "name": "神鱼 DiscusFish", "handle": "bitfish", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "F2Pool/Cobo co-founder" }, { "id": "mindao-twitter", "type": "twitter", "name": "Mindao", "handle": "mindaoyang", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "dForce founder" }, { "id": "herbert-twitter", "type": "twitter", "name": "Herbert", "handle": "herbertcrypto", "enabled": true, "priority": false, "topics": [ "crypto" ], "note": "PANews founder" }, { "id": "elon-twitter", "type": "twitter", "name": "Elon Musk", "handle": "elonmusk", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Entrepreneur" }, { "id": "sundar-twitter", "type": "twitter", "name": "Sundar Pichai", "handle": "sundarpichai", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Google CEO" }, { "id": "pmarca-twitter", "type": "twitter", "name": "Marc Andreessen", "handle": "pmarca", "enabled": true, "priority": false, "topics": [ "frontier-tech", "crypto" ], "note": "a16z" }, { "id": "levie-twitter", "type": "twitter", "name": "Aaron Levie", "handle": "levie", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Box CEO" }, { "id": "satya-twitter", "type": "twitter", "name": "Satya Nadella", "handle": "satyanadella", "enabled": true, "priority": false, "topics": [ "frontier-tech" ], "note": "Microsoft CEO" }, { "id": "mit-tech-review-rss", "type": "rss", "name": "MIT Technology Review", "url": "https://www.technologyreview.com/feed", "enabled": true, "priority": true, "topics": [ "llm", "ai-agent", "frontier-tech" ], "note": "AI policy + deep analysis" }, { "id": "venturebeat-ai-rss", "type": "rss", "name": "VentureBeat AI", "url": 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Daily defaults shown; weekly overrides in parentheses. ## Placeholders | Placeholder | Default | Weekly Override | |-------------|---------|----------------| | `` | `daily` | `weekly` | | `` | `past 1-2 days` | `past 7 days` | | `` | `pd` | `pw` | | `` | `48` | `168` | | `` | `3-5` | `10-15` | | `` | *(none)* | `📊 Weekly Trend Summary` | | `` | `false` | `true` | | `` | `3` | `3-5` | | `` | `Daily Tech Digest - YYYY-MM-DD` | `Weekly Tech Digest - YYYY-MM-DD` | | `` | Your workspace path | | | `` | Installed skill directory | | | `` | Target channel ID | | | `` | *(optional)* Recipient email | | | `` | *(optional)* e.g. `MyBot ` | | | `` | `Chinese` | | | `

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Dinstein Tech News Digest

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