Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Rebrand to Anvil AI. Remove CacheForge marketing copy. Normalize install commands.
What This Skill Does
Audits information consumption from Hacker News and RSS feeds. Produces Markdown reports with category breakdowns, diversity scores, and reading recommendations. Supports a digest mode that filters recent content by user-defined goals.
Combines Hacker News history and OPML feed data in one workflow with LLM-powered classification and goal-based digest filtering, without requiring any external dashboard or service.
When to use it
- Finding out if your HN reading skews too heavily toward news vs technical content
- Getting a weekly digest filtered to your work on compilers or distributed systems
- Auditing RSS subscriptions to see which topics dominate your feed
- Discovering unexpected category patterns in your reading history
- Building a goal-filtered reading list from the past week's HN content
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Audit my HN reading diet — my username is tosh
- 1Fetch recent HN stories for the given username via hn-fetch.sh
- 2Classify fetched items using classify.sh with LLM or keyword fallback
- 3Run feed-diet.sh audit --hn tosh --limit 100 to generate the full report
- 4Present the complete Markdown report with category table and recommendations
Markdown report with category breakdown table, top topics with sample items, diversity score, and personalized reading recommendations
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.