aim-freshness-report
SkillDocs & knowledgeScan code-patterns collection for stale memories by comparing against GitHub code blob data
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the aim-freshness-report skill
What this skill tells your AI
The instructions your AI receives, as published by hidden-history/ai-memory in .claude/skills/aim-freshness-report/SKILL.md and read by ahel’s review.
Canonical Execution
Always run the real script through run-with-env.sh so the skill uses the
installed ai-memory virtualenv and the standard local service defaults.
# Scan all projects
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" freshness_report.py
# Scan specific project
"${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" freshness_report.py my-project
Signals
- GitHub stars
- 41
- Forks
- 5
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
aim-freshness-report- Source
- github.com/hidden-history/ai-memory