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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:
bash
# For HN:
   bash "$SKILL_DIR/scripts/hn-fetch.sh" USERNAME 100
   
   # For OPML:
   bash "$SKILL_DIR/scripts/opml-parse.sh" /path/to/feeds.opml
  • Classify items. Pipe the fetched items through the classifier:
bash
cat items.jsonl | bash "$SKILL_DIR/scripts/classify.sh" > classified.jsonl
The 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
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
bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7

Quick Reference

CommandDescription
feed-diet audit --hn USERFull diet audit for an HN user
feed-diet audit --opml FILEFull 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
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
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
bash "$SKILL_DIR/scripts/feed-diet.sh" audit --opml /path/to/feeds.opml

Installation

Terminal bash

openclaw install feed-diet
    
Copied!

💻Code Examples

bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7

bash-skilldirscriptsfeed-dietsh-digest---hn-username---goal-systems-programming-distributed-systems---days-7.txt
### 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

bash-skilldirscriptsfeed-dietsh-audit---hn-tosh---limit-50.txt
**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

bash-skilldirscriptsfeed-dietsh-digest---hn-tosh---goal-compilers-programming-languages-parsers---days-7.txt
**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:**
example.sh
# For HN:
   bash "$SKILL_DIR/scripts/hn-fetch.sh" USERNAME 100
   
   # For OPML:
   bash "$SKILL_DIR/scripts/opml-parse.sh" /path/to/feeds.opml

Tags

#health_and-fitness

Quick Info

Category Development
Model Claude 3.5
Complexity One-Click
Author tkuehnl
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install feed-diet