Skills

Mention Radar

Monitor external web and social mentions of the operator's active projects - surface...

Install

npx skills add aeonfun/aeon --skill mention-radar -g -a claude-code -y
Repository
aeonfun/aeon787
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Mediumabout 2,484 tokens
Runs scripts
No, instructions only

What it does

Monitor external web and social mentions of the operator's active projects - surface what people are discovering, where they're confused, and where to engage

${var}, Comma-separated project names to track (e.g. "MyApp, my-lib"). If empty, derives targets from MEMORY.md and memory/topics/projects.md.

Read memory/MEMORY.md for current project status. Read the last 3 days of memory/logs/ to avoid re-surfacing already-noted mentions.

Steps

  1. Define the targets.

    • If ${var} is set: parse it as a comma-separated list of project names.
    • Otherwise: scan memory/MEMORY.md (goals, active topics) and memory/topics/projects.md (if it exists) for the operator's active projects. A target needs at least a name; collect a site/domain and a GitHub owner/repo too when known.
    • Cap at 6 targets, prefer the most active ones.
    • If zero targets can be derived: log MENTION_RADAR_SKIP: no projects configured, set var or add projects to memory/topics/projects.md and stop. No notification.

    For each target, build search terms:

    • The exact project name in quotes (e.g. "MyApp" site:x.com OR site:reddit.com OR site:news.ycombinator.com)
    • The domain if known (e.g. "myapp.xyz")
    • The repo if known (e.g. site:github.com owner/myapp)
  2. Search for external mentions. X/Twitter is fetched via the X.AI Responses API (primary); the rest of the public web (Reddit, Farcaster, blogs, newsletters, GitHub Discussions, HN, Product Hunt) goes through WebSearch, which is also the last-resort fallback for X itself. Derive the operator's handle from soul/SOUL.md if present (call it $OPERATOR) so you can exclude their own posts.

Read the whole SKILL.md on GitHub

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