Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
feed-diet
Audit your information diet across HN and RSS feeds — beautiful reports with category breakdowns, ASCII charts, and personalized recommendations.
skill openclawclawhub Free
Audit your information diet across HN and RSS feeds — beautiful reports with category breakdowns, ASCII charts, and personalized recommendations.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, README.md, SKILL.md, scripts/classify.sh, scripts/common.sh, scripts/feed-diet.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.1
Provenance
- Publisher
- tkuehnl
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
🍽️ 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"
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 "$SKILL_DIR/scripts/classify.sh" > classified.jsonl The classifier uses LLM (if ANTHROPIC_API_KEY or OPENAI_API_KEY is set) or falls back to keyword matching. Generate the report. Run the main entry point: bash "$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 "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7
Quick Reference
CommandDescriptionfeed-diet audit --hn USERFull diet audit for an HN userfeed-diet audit --opml FILEFull diet audit from RSS feedsfeed-diet digest --hn USER --goal "X"Weekly digest filtered by goals
Notes for the Agent
Be conversational. After presenting the report, offer observations like "Looks like you're heavy on news — want me to suggest some deeper technical feeds?" Suggest the digest mode if the user seems interested in filtering their reading. The report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy. If classification seems off, mention that setting an LLM API key improves accuracy.
Discord v2 Delivery Mode (OpenClaw v2026.2.14+)
When the conversation is happening in a Discord channel: Send a compact first summary (top category, diversity score, top 2 recommendations), then ask if the user wants the full report. Keep the first response under ~1200 characters and avoid wide category tables in the first message. If Discord components are available, include quick actions: Show Full Diet Report Generate Weekly Digest Show Recommendations If components are not available, provide the same follow-ups as a numbered list. Prefer short follow-up chunks (<=15 lines per message) when sharing long reports.
References
scripts/feed-diet.sh — Main entry point scripts/hn-fetch.sh — Hacker News story fetcher scripts/opml-parse.sh — OPML/RSS feed parser scripts/classify.sh — Batch content classifier (LLM + fallback) scripts/common.sh — Shared utilities and formatting
Example 1: HN Audit
User: "Audit my HN reading diet — my username is tosh" Agent runs: bash "$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
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs3 Scripts
- SKILL.md
- CHANGELOG.md
- README.md
- scripts/classify.sh
- scripts/common.sh
- scripts/feed-diet.sh