Apache Airflow DAG Patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
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---
name: memory-health-probe-f693c13237f8
version: 1.0.0
description: QMD memory system telemetry — measure index health, BM25 retrieval quality, coverage maps, and trend analysis. Use when running QMD memory backend and need diagnostics on retrieval quality, index freshness, or collection coverage.
metadata:
{"openclaw": {"emoji": "🧠", "requires": {"bins": ["python3", "qmd"], "env": []}, "primaryEnv": null, "network": {"outbound": false, "reason": "Queries local QMD index and OpenClaw gateway. No external network calls."}}}
---
# Memory Health Probe
Telemetry for QMD memory systems. Measures index health, retrieval quality, and coverage to catch degradation before it affects agent performance.
## Metrics Captured
1. **Index health** — file count, chunk count, index size, staleness
2. **BM25 quality** — hit rate + score distribution over canonical queries
3. **Gateway events** — session-memory saves, QMD armed events
4. **Coverage map** — which collections are hit for which query categories
## Usage
```bash
python3 scripts/memory_probe.py # Run probe, log to Langfuse
python3 scripts/memory_probe.py --dry-run # Print results only
python3 scripts/memory_probe.py --trend # Show trend over stored snapshots
```
## Files
- `scripts/memory_probe.py` — Probe script with Langfuse integration
---
name: memory-health-probe-f693c13237f8
version: 1.0.0
description: QMD memory system telemetry — measure index health, BM25 retrieval quality, coverage maps, and trend analysis. Use when running QMD memory backend and need diagnostics on retrieval quality, index freshness, or collection coverage.
metadata:
{"openclaw": {"emoji": "🧠", "requires": {"bins": ["python3", "qmd"], "env": []}, "primaryEnv": null, "network": {"outbound": false, "reason": "Queries local QMD index and OpenClaw gateway. No external network calls."}}}
---
# Memory Health Probe
Telemetry for QMD memory systems. Measures index health, retrieval quality, and coverage to catch degradation before it affects agent performance.
## Metrics Captured
1. **Index health** — file count, chunk count, index size, staleness
2. **BM25 quality** — hit rate + score distribution over canonical queries
3. **Gateway events** — session-memory saves, QMD armed events
4. **Coverage map** — which collections are hit for which query categories
## Usage
```bash
python3 scripts/memory_probe.py # Run probe, log to Langfuse
python3 scripts/memory_probe.py --dry-run # Print results only
python3 scripts/memory_probe.py --trend # Show trend over stored snapshots
```
## Files
- `scripts/memory_probe.py` — Probe script with Langfuse integration
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.