Feed Diet
Audit your information diet across HN and RSS feeds — beautiful reports with category breakdowns, AS
- Rating
- 4.8 (332 reviews)
- Downloads
- 47,419 downloads
- Version
- 1.0.0
Overview
Audit your information diet across HN and RSS feeds — beautiful reports with category breakdowns, ASCII charts.
Complete Documentation
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🍽️ 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 "$SKILL_DIR/scripts/classify.sh" > classified.jsonl
- Generate the report. Run the main entry point:
bash "$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 "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7
Quick Reference
| Command | Description |
|---|---|
| feed-diet audit --hn USER | Full diet audit for an HN user |
| feed-diet audit --opml FILE | Full diet audit from RSS feeds |
| feed-diet digest --hn USER --goal "X" | Weekly digest filtered by goals |
Notes for the Agent
- Be conversational. After presenting the report, offer observations like "Looks like you're heavy on news — want me to suggest some deeper technical feeds?"
- Suggest the digest mode if the user seems interested in filtering their reading.
- The report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy.
- If classification seems off, mention that setting an LLM API key improves accuracy.
Discord v2 Delivery Mode (OpenClaw v2026.2.14+)
When the conversation is happening in a Discord channel:
- Send a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report.
- Keep the first response under ~1200 characters and avoid wide category tables in the first message.
- If Discord components are available, include quick actions:
Show Full Diet ReportGenerate Weekly DigestShow Recommendations- If components are not available, provide the same follow-ups as a numbered list.
- Prefer short follow-up chunks (<=15 lines per message) when sharing long reports.
References
scripts/feed-diet.sh— Main entry pointscripts/hn-fetch.sh— Hacker News story fetcherscripts/opml-parse.sh— OPML/RSS feed parserscripts/classify.sh— Batch content classifier (LLM + fallback)scripts/common.sh— Shared utilities and formatting
Examples
Example 1: HN Audit
User: "Audit my HN reading diet — my username is tosh"
Agent runs:
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn tosh --limit 50
Output: 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 "$SKILL_DIR/scripts/feed-diet.sh" digest --hn tosh --goal "compilers, programming languages, parsers" --days 7
Output: A curated reading list of 10-20 items ranked by relevance to the user's goals.
Example 3: RSS Feed Audit
User: "Here's my OPML file, tell me what my feed diet looks like"
Agent runs:
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --opml /path/to/feeds.opml
Installation
openclaw install feed-diet
💻Code Examples
bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7
### Quick Reference
| Command | Description |
|---------|-------------|
| `feed-diet audit --hn USER` | Full diet audit for an HN user |
| `feed-diet audit --opml FILE` | Full diet audit from RSS feeds |
| `feed-diet digest --hn USER --goal "X"` | Weekly digest filtered by goals |
### Notes for the Agent
- **Be conversational.** After presenting the report, offer observations like "Looks like you're heavy on news — want me to suggest some deeper technical feeds?"
- **Suggest the digest mode** if the user seems interested in filtering their reading.
- **The report is the star.** Don't summarize it — present it in full. It's designed to be screenshot-worthy.
- If classification seems off, mention that setting an LLM API key improves accuracy.
### Discord v2 Delivery Mode (OpenClaw v2026.2.14+)
When the conversation is happening in a Discord channel:
- Send a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report.
- Keep the first response under ~1200 characters and avoid wide category tables in the first message.
- If Discord components are available, include quick actions:
- `Show Full Diet Report`
- `Generate Weekly Digest`
- `Show Recommendations`
- If components are not available, provide the same follow-ups as a numbered list.
- Prefer short follow-up chunks (<=15 lines per message) when sharing long reports.
## References
- `scripts/feed-diet.sh` — Main entry point
- `scripts/hn-fetch.sh` — Hacker News story fetcher
- `scripts/opml-parse.sh` — OPML/RSS feed parser
- `scripts/classify.sh` — Batch content classifier (LLM + fallback)
- `scripts/common.sh` — Shared utilities and formatting
## Examples
### Example 1: HN Audit
**User:** "Audit my HN reading diet — my username is tosh"
**Agent runs:**bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn tosh --limit 50
**Output:** 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 "$SKILL_DIR/scripts/feed-diet.sh" digest --hn tosh --goal "compilers, programming languages, parsers" --days 7
**Output:** A curated reading list of 10-20 items ranked by relevance to the user's goals.
### Example 3: RSS Feed Audit
**User:** "Here's my OPML file, tell me what my feed diet looks like"
**Agent runs:**# For HN:
bash "$SKILL_DIR/scripts/hn-fetch.sh" USERNAME 100
# For OPML:
bash "$SKILL_DIR/scripts/opml-parse.sh" /path/to/feeds.opmlTags
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