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Scan code-patterns collection for stale memories by comparing against GitHub code blob data
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Based on SOC occupation classification
| 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
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