tech-news-digest — скилл для Claude Code: технодайджесты из шести
Собирает технодайджест из RSS, Twitter/X, GitHub releases, Reddit и веб-поиска, оценивает качество и отдаёт в Discord, письмом или markdown.
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a claude-codeЧто делает tech-news-digest
Скилл ведёт сбор по конвейеру: отдельные Python-скрипты тянут данные из шести источников, повторяют неудачные запросы и убирают дубли. Дальше редакторская выборка одна на все форматы, так что выпуск для Discord и письмо не разъезжаются по содержанию. Есть два режима: daily и weekly, у каждого свои лимиты по объёму и разделам.
Для запуска нужен python3. Доставка письмом работает через mail (на базе msmtp) или gog как запасной вариант. Ключи к Twitter/X, Brave или Tavily, Reddit и GitHub необязательны, но без них часть источников просто не наполнится. Состояние между запусками (кэши RSS и GitHub, история здоровья источников) лежит в $TECH_NEWS_DIGEST_STATE_DIR.
Перед отправкой дайджест проверяется командой python3 scripts/validate-digest.py --input FILE --mode daily или --mode weekly, и ошибки надо чинить. Обязательный раздел про безопасность: если сбор упал, это не значит, что инцидентов не было, поэтому проверки и решения логируются отдельно. Скилл держит пустые заголовки с пометкой о покрытии вместо заглушек, так что в выпуске видно, где данных не хватило.
Какие задачи решает
- собрать утренний дайджест из RSS, GitHub и Reddit в один файл
- убрать дубли ссылок между выпусками daily и weekly
- отправить подборку новостей в Discord и на почту из одного источника
- проверить дайджест на ошибки перед публикацией
- отслеживать релизы репозиториев и мнения KOL без ручного обхода
Примеры запросов агенту
- Собери daily-дайджест техновостей и сохрани в архив
- Сделай weekly-выпуск по темам LLM и AI Agent, ключевые релизы не больше пяти
- Проверь готовый дайджест через validate-digest.py в режиме daily
Как установить tech-news-digest
1Через Skills CLI (Vercel)
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a claude-code2Вручную: положить файлы
~/.claude/skills/tech-news-digest/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/tech-news-digest/
1Через Skills CLI (Vercel)
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a codex2Вручную: положить файлы
.agents/skills/tech-news-digest/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a cursor2Вручную: положить файлы
.cursor/skills/tech-news-digest/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install draco-agent/tech-news-digest tech-news-digest2Вручную: положить файлы
.github/skills/tech-news-digest/SKILL.md1Через Skills CLI (Vercel)
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a gemini-cli2Командой платформы
gemini skills install https://github.com/draco-agent/tech-news-digestВручную: положить файлы
.devin/skills/tech-news-digest/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о tech-news-digest
Как установить tech-news-digest в Claude?
Выполните npx skills add draco-agent/tech-news-digest --skill tech-news-digest -a claude-code. Скилл встанет в ~/.claude/skills/tech-news-digest/SKILL.md.
Что делает tech-news-digest?
Собирает технодайджест из шести источников, убирает дубли, оценивает качество и выдаёт результат в Discord, письмом или markdown. Есть режимы daily и weekly с разными лимитами.
Что нужно для работы скилла?
Обязателен только python3 для скриптов сбора и слияния. Доставка письмом требует mail или gog, а ключи к Twitter/X, Brave, Tavily, Reddit и GitHub необязательны и влияют лишь на то, какие источники наполнятся.
Исходный текст
SKILL.md · MIT
---
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, GitHub releases, project discovery, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates.
version: "3.17.1"
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: REDDIT_CLIENT_ID
required: false
description: Reddit API app client ID for OAuth fallback when public JSON is blocked
- name: REDDIT_CLIENT_SECRET
required: false
description: Reddit API app client secret for OAuth fallback when public JSON is blocked
- name: REDDIT_USERNAME
required: false
description: Optional Reddit username used only in the OAuth User-Agent string
- 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
- name: TECH_NEWS_DIGEST_STATE_DIR
required: false
description: "Directory for cross-run state (RSS/GitHub caches, source health). Default: $XDG_STATE_HOME/tech-news-digest or ~/.local/state/tech-news-digest"
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
- <workspace>/archive/tech-news-digest/: Previous digests for dedup
write:
- $TECH_NEWS_DIGEST_STATE_DIR/: RSS/GitHub caches and source health history
- /tmp/td-*.json: Temporary pipeline intermediate outputs
- /tmp/td-email.html: Temporary email HTML body
- /tmp/td-digest.pdf: Generated PDF digest
- <workspace>/archive/tech-news-digest/: Saved digest archives
---
# Tech News Digest
Evidence-led tech digest with unified collection and one editorial selection shared across formats. Follow `references/digest-prompt.md` as the authoritative mode policy.
## Editorial Contract
- Daily preserves original sections: 2–4 sentence overview; configured topics (normally LLM, AI Agent, Crypto, Frontier Tech; aim for 3–5 qualified items each); KOL viewpoints ≤3; releases ≤3 repositories; project discovery ≤3; blog picks ≤3; ≤30 unique items overall. News/blog explanations normally contain 2–3 concise sentences of change, evidence and implication. Retain empty headings with a coverage note, never filler. Optimize content within sections: a request to shorten GitHub releases must not become a whole-report redesign or one-message digest.
- Weekly ≤35 unique items: overview; configured topic sections in configured order (normally LLM, AI Agent, Crypto, Frontier Tech), with 2–4 substantial syntheses per topic as an advisory aim. Each synthesis uses 2–4 concise sentences joining week progress, evidence and implications, not concatenated headlines. Retain empty topic, key-release, project and viewpoint/reading headings with honest non-bullet coverage notes. Key releases ≤5 repositories (Chinese explanation ≤80 characters); projects ≤3; viewpoints/deep reading ≤4; optional next-week watch ≤3 pending releases, fixes or uncertainties. Do not force experiments; factual watch claims need citations, clearly proposed/not-performed experiments retain the narrow citation exemption.
- Caps are not quotas. Count evidence events inside syntheses and standalone watch items. Preserve topic sections in both modes; no global three-theme constraint. Body limits: daily ≤6500 characters, weekly ≤10000, excluding URL targets; never fill to the limit.
- Mandatory security coverage: follow the primary-alert/search and pre-delivery checks in `references/digest-prompt.md`. Preserve existing topics; use optional `🛡️ 安全警报` after the overview only for credible urgent incidents in either mode; weekly may also use an optional dedicated security/risk section for consequential nonurgent risks. Omit when empty and count/deduplicate within existing caps. Log checks and decisions; failed collection is not evidence of no incidents.
- Relevance, impact and evidence before internal scores. Exceptional claims need original technical evidence and independent assessment where possible, otherwise exclude/downgrade. No public scores, social metrics or operational statistics. Daily keeps substantive, nonduplicative KOL viewpoints. A material coverage gap may receive one concise caveat without raw counts; details stay in the final operational log.
- Deduplicate events and canonical URLs across the whole report. Daily repeats require incremental developments; weekly may synthesize daily coverage. Daily keeps blog picks; weekly viewpoints/deep reading may include original opinions, papers, docs, postmortems or essays.
- Project discovery is not verified trending; no lifetime-derived growth or repeated mature repos without meaningful changes. Preserve the prompt's consequential-release rules, exact versions and official links.
- Plain bullets with bold titles; concise inline Discord links `[来源](<URL>)`. Section-aware chunks ≤1700 characters including numbering. Apply the requested language, including Simplified Chinese explanations when configured.
- Validate the canonical archive with `python3 scripts/validate-digest.py --input FILE --mode daily` or `--mode weekly` before delivery; fix all errors. Weekly production runs append one `--topic-heading 'EXACT LOCALIZED HEADING'` per configured topic in order; without these flags the gate cannot infer custom headings. Missing/failing validation blocks delivery. Manually verify unique-event counts inside syntheses, required non-topic headings/overview, security placement, evidence/coverage honesty and cross-format parity too.
- Discord, Markdown, email and PDF use identical selections/judgments. Operational stats/runtime attribution belong in the final log, not content.
- Legacy `ITEMS_PER_SECTION`, `BLOG_PICKS_COUNT` and `EXTRA_SECTIONS` are advisory parameters superseded by mode policy: ignore their counts/extra sections, especially duplicate weekly trends.
## 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. **Select and Validate**: Follow `references/digest-prompt.md`; validate the canonical Markdown before rendering the same selections to Discord, email and PDF.
## 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, max 2 concurrent per host), retry with jittered backoff, feedparser + regex fallback
- Timeout: 30s per feed, ETag/Last-Modified caching in `$TECH_NEWS_DIGEST_STATE_DIR`
#### `fetch-twitter.py` - Twitter/X KOL Monitor
```bash
python3 scripts/fetch-twitter.py [--defaults DIR] [--config DIR] [--hours 48] [--output FILE] [--backend auto|official|twitterapiio]
```
- Backend auto-detection: uses twitterapi.io if `TWITTERAPI_IO_KEY` set, else official X API v2 if `X_BEARER_TOKEN` set
- Rate limit handling, engagement metrics, retry with backoff
#### `fetch-web.py` - Web Search Engine
```bash
python3 scripts/fetch-web.py [--defaults DIR] [--config DIR] [--freshness pd] [--output FILE]
```
- Auto-detects Brave API rate limit: paid plans → parallel queries, free → sequential
- Without API: generates search interface for agents
#### `fetch-github.py` - GitHub Releases Monitor
```bash
python3 scripts/fetch-github.py [--defaults DIR] [--config DIR] [--hours 168] [--output FILE]
```
- Parallel fetching (10 workers), 30s timeout
- Auth priority: `$GITHUB_TOKEN` → GitHub App auto-generate → `gh` CLI → `releases.atom`
- Without a token (or on a 403/429 rate limit) it reads `github.com/<repo>/releases.atom`, which needs no auth,
consumes no REST quota, and also surfaces tag-only repos such as `torvalds/linux`
- The Atom feed lists *every* tag, so entries are kept only when the tag carries a `<major>.<minor>`
version (`v2.13.0`, `v6.19-rc4`). This drops CI tags such as PyTorch's `trunk/<sha>` and
`viable/strict/<epoch>`, which would otherwise crowd out real releases
#### `fetch-github.py --trending` - Project Discovery (legacy flag)
```bash
python3 scripts/fetch-github.py --trending [--hours 48] [--output FILE] [--verbose]
```
- Searches GitHub API for discovery candidates; search results do not establish genuine trends.
- Neutral internal base score 5, not a growth signal. No `daily_stars_est` or lifetime-derived growth. Daily discovery ≤3, weekly ≤3; require a current reason to try the project.
#### `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, URL dedup (tracking params stripped, query preserved), title similarity dedup (75%), previous digest penalty
- Multi-source bonus: +5 per additional source type corroborating the same story
- Topic priority is derived from `topics.json` order; pass `--defaults`/`--config` to keep it in sync
- 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 in `$TECH_NEWS_DIGEST_STATE_DIR/source-health.json`
- Reports unhealthy sources (>50% failure rate, minimum 2 samples)
#### `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
### Canonical Markdown (`references/templates/markdown.md`)
- Daily/weekly structure governed by `references/digest-prompt.md`; one validated selection for all formats.
### Discord Template (`references/templates/discord.md`)
- Plain bullets, bold titles, inline `[来源](<URL>)` links; section-aware chunks ≤1700 characters including numbering.
### Email Template (`references/templates/email.md`)
- Convert validated Markdown with `sanitize-html.py`, send the HTML file with `send-email.py`.
- Same selections, no extra metadata sections or operational statistics.
### PDF Template (`references/templates/pdf.md`)
- Same canonical report, A4 Chinese typography and page numbers.
- Generated via `scripts/generate-pdf.py` (requires `weasyprint`); no PDF-only content.
## Default Sources (216 enabled)
- **RSS Feeds (93)**: AI labs, arXiv, research blogs, tech news, crypto news, Chinese tech media, YouTube channels
- **Twitter/X KOLs (76)**: AI researchers, model labs, crypto leaders, tech executives
- **GitHub Repos (47)**: Major open-source projects (llama.cpp, vLLM, SGLang, LangGraph, MCP, etc.)
- **Reddit (13, disabled by default)**: Reddit blocks datacenter IPs; set `REDDIT_CLIENT_ID`/`REDDIT_CLIENT_SECRET` and re-enable in your overlay
- **Web Search (4 topics)**: LLM, AI Agent, Crypto, Frontier Tech
A further 7 RSS/GitHub defaults ship disabled because the upstream feed is dead; each carries a `note` saying why.
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 `<workspace>/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
# Reddit (required to enable the Reddit layer — it ships disabled)
export REDDIT_CLIENT_ID="xxx" # Script-type app from reddit.com/prefs/apps
export REDDIT_CLIENT_SECRET="xxx"
export REDDIT_USERNAME="xxx" # Optional, User-Agent string only
# GitHub (optional, unlocks richer release notes)
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**: Disabled by default — Reddit returns 403 to datacenter IPs. Set `REDDIT_CLIENT_ID`/`REDDIT_CLIENT_SECRET` and re-enable the sources to use the OAuth 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.
Existing cron jobs may still pass `ITEMS_PER_SECTION`, `BLOG_PICKS_COUNT` and `EXTRA_SECTIONS`. Accept them for compatibility but ignore their quotas/extra sections; mode policy supersedes them. New examples omit them.
#### Daily Digest Cron Prompt
```
Read <SKILL_DIR>/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
- ENRICH = true
- SUBJECT = Daily Tech Digest - YYYY-MM-DD
- WORKSPACE = <your workspace path>
- SKILL_DIR = <your skill install path>
- DISCORD_CHANNEL_ID = <your 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 <SKILL_DIR>/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
- ENRICH = true
- SUBJECT = Weekly Tech Digest - YYYY-MM-DD
- WORKSPACE = <your workspace path>
- SKILL_DIR = <your skill install path>
- DISCORD_CHANNEL_ID = <your 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 = <your-discord-channel-id>
- EMAIL = [email protected]
- 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.
© draco-agent · MIT · draco-agent/tech-news-digest