aim-refresh

Manually re-evaluates freshness for code-patterns memories. Reuses the freshness scan pipeline from SPEC-013 with optional scope filters. ## 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. ```bash "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" refresh.py ``` ## Examples ```bash # Scan all code-patterns memories "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" refresh.py # Limit to a specific project group_id "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" refresh.py my-project # Topic filter (v2.1 — currently runs full scan with project filter) "${AI_MEMORY_INSTALL_DIR:-$HOME/.ai-memory}/scripts/memory/run-with-env.sh" refresh.py --topic "authentication" ``` ## Implementation - Script: `scripts/memory/refresh.py` - Interpreter: `run-with-env.sh` (imports `memory.*`, requires venv) - Args: `[project]` (optional positional group_id filter), `--topic` (v2.1, no-op today) - Output: tier table (Fresh / Aging / Stale / Expired / Unknown) + actionable count