- name
- feed-diet
- version
- 0.1.1
- description
- Audit your information diet across HN and RSS feeds — beautiful reports with category breakdowns, ASCII charts, and personalized recommendations.
- author
- Anvil AI
- tags
- [productivity, reading, analysis, hacker-news, rss, information-diet, discord, discord-v2]
🍽️ Feed Diet
Audit your information diet and get a gorgeous report showing what you actually consume.
Trigger
Activate when the user mentions any of:
- "feed diet"
- "information diet"
- "audit my feeds"
- "what am I reading"
- "analyze my HN"
- "reading habits"
- "content diet"
- "feed report"
Instructions
Audit Mode (default)
- Determine the data source. Ask the user for one of:
- A Hacker News username (e.g., "tosh") - An OPML file path containing RSS feed subscriptions
- Fetch the content. Run the appropriate fetch script:
# For HN:
bash "$SKILL_DIR/scripts/hn-fetch.sh" USERNAME 100
# For OPML:
bash "$SKILL_DIR/scripts/opml-parse.sh" /path/to/feeds.opml- Classify items. Pipe the fetched items through the classifier:
cat items.jsonl | bash "$SKILL_DIR/scripts/classify.sh" > classified.jsonlThe classifier uses LLM (if ANTHROPIC_API_KEY or OPENAI_API_KEY is set) or falls back to keyword matching.
- Generate the report. Run the main entry point:
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn USERNAME --limit 100- Present the report to the user. The output is Markdown — render it directly.
Digest Mode (weekly curated reading)
When the user wants a filtered reading list based on their goals:
bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7Quick Reference
| Command | Description |
|---|---|
feed-diet audit --hn USER | Full diet audit for an HN user |
feed-diet audit --opml FILE | Full diet audit from RSS feeds |
feed-diet digest --hn USER --goal "X" | Weekly digest filtered by goals |
Notes for the Agent
- Be conversational. After presenting the report, offer observations like "Looks like you're heavy on news — want me to suggest some deeper technical feeds?"
- Suggest the digest mode if the user seems interested in filtering their reading.
- The report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy.
- If classification seems off, mention that setting an LLM API key improves accuracy.
Discord v2 Delivery Mode (OpenClaw v2026.2.14+)
When the conversation is happening in a Discord channel:
- Send a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report.
- Keep the first response under ~1200 characters and avoid wide category tables in the first message.
- If Discord components are available, include quick actions:
- Show Full Diet Report - Generate Weekly Digest - Show Recommendations
- If components are not available, provide the same follow-ups as a numbered list.
- Prefer short follow-up chunks (<=15 lines per message) when sharing long reports.
References
scripts/feed-diet.sh— Main entry pointscripts/hn-fetch.sh— Hacker News story fetcherscripts/opml-parse.sh— OPML/RSS feed parserscripts/classify.sh— Batch content classifier (LLM + fallback)scripts/common.sh— Shared utilities and formatting
Examples
Example 1: HN Audit
User: "Audit my HN reading diet — my username is tosh"
Agent runs:
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn tosh --limit 50Output: A full Markdown report with category breakdown table, top categories with sample items, surprising finds, and recommendations.
Example 2: Weekly Digest
User: "Give me a digest of what's relevant to my work on compilers and programming languages"
Agent runs:
bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn tosh --goal "compilers, programming languages, parsers" --days 7Output: A curated reading list of 10-20 items ranked by relevance to the user's goals.
Example 3: RSS Feed Audit
User: "Here's my OPML file, tell me what my feed diet looks like"
Agent runs:
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --opml /path/to/feeds.opml