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Scan code-patterns collection for stale memories by comparing against GitHub code blob data
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Detect content drift of an operator's scaffolded sanctum files (BOND, CAPABILITIES, CREED, INDEX, LORE, MEMORY, PERSONA, PULSE) against the evolving reference templates, and surface recommended add/remove WITH rationale — never a silent overwrite. Use on a session-start drift check, after the reference templates change, or when the operator asks whether their sanctum is current.
Check ai-memory system status and collection stats
Check ai-memory system status and collection stats
Manually save current session context to ai-memory
Search ai-memory for relevant stored memories
Search ai-memory for relevant stored memories
| name | aim-freshness-report |
| description | Scan code-patterns collection for stale memories by comparing against GitHub code blob data |
| trigger | /aim-freshness-report |
| allowed-tools | Bash |
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