agentdb-status
Show AgentDB health — pattern count, embedder status, cache hit rate, learning gain since init. Use when the user asks "is agentdb working?", "how many memories?", "show agentdb stats", or after long-running sessions to confirm state.
소스 정보
- 저장소
- ruvnet/agentdb
- 최근 소스 활동
- 2026년 5월 6일 15:22
- 감지된 SKILL.md 언어
- 영어
- 스타
- 94
- 포크
- 16
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- agentdb-status
- description
- Show AgentDB health — pattern count, embedder status, cache hit rate, learning gain since init. Use when the user asks "is agentdb working?", "how many memories?", "show agentdb stats", or after long-running sessions to confirm state.
# AgentDB Status
Reports the live state of the AgentDB Cognitive Container backing this session.
## When to use
- User asks "what's in agentdb?", "is the memory working?", "show stats"
- Debugging recall quality — high miss rate? cache cold?
- Before / after a long session to see how much was learned
- CI smoke check before deploying an agent that depends on AgentDB
## Steps
1. Call `agentdb_pattern_stats` to get pattern count, hit rate, recent insert/search latencies.
2. If available, call `agentdb_reflexion_stats` for episode count and per-task win rates.
3. Call `agentdb_bandit_stats` (if `agentdb-learning` is installed) for arm reward summaries.
4. Render a compact table:
```
patterns 12,847
episodes 384
skills 22
hit rate 94.2%
avg search 0.83 ms
learning gain +18% since init
storage 38 MB (.rvf)
```
5. If any number looks off (zero patterns, hit rate <50%, latency >10ms), flag it and link to the relevant ADR / docs.
## Don't
- Don't dump the raw stats JSON — readers want the summary.
- Don't infer "broken" from a fresh init (zero patterns is correct on day 0).
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