aim-freshness-report
SkillDocs & knowledgeScan code-patterns collection for stale memories by comparing against GitHub code blob data
Use aim-freshness-report in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add aim-freshness-report and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the aim-freshness-report skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
github.com/hidden-history/ai-memory
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