aim-refresh
Manually re-evaluate freshness for code-patterns memories
Datos de origen
- Repositorio
- Hidden-History/ai-memory
- Última actividad en el origen
- 2 de junio de 2026 a las 23:17
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 41
- Forks
- 5
Opciones de instalación
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- aim-refresh
- description
- Manually re-evaluate freshness for code-patterns memories
- trigger
- /aim-refresh
- allowed-tools
- Bash
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
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