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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs. | FailproofAI/ | 5.3k | — | ~6k | Automated safety check: Pass | Unknown | 4 days ago |
| 2 | Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +… | TencentCloudBase/ | 1.1k | 2 repos | ~2.9k | Automated safety check: Notes | MIT | yesterday |
| 3 | Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover. | agentsope/ | 436 | — | ~4.4k | Automated safety check: Pass | MIT | 2 days ago |
| 4 | Deploy and operate production agent servers with LangSmith Deployment. | soba-labs/ | 107 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 5 | Build a new AI agent on AWS and deploy it easily, OR wrap and deploy an agent you already have, using the Amazon Bedrock AgentCore harness. | hoodini/ | 282 | — | ~4.2k | Automated safety check: Notes | No licence | 3 mo ago |
| 6 | Triage LangChain 1.0 / LangGraph 1.0 production incidents — LLM-specific SLOs, provider outage runbook, latency spike decision tree, cost-overrun response, agent loop containment. | jeremylongshore/ | 2.8k | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 7 | Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span… | jeremylongshore/ | 2.8k | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |