ai-reliability-copilot
Enrichment pendingTurn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario regression suite + LLM-as-judge eval pipeline.
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Trust & integrity
Full report- Maintenance
- Active (17d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Personal account
- As of today · Source: github_public_v1
- Security (OSV)
- No MCP manifest
- As of today · Source: mcp_manifest
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
Turn a production incident into a structured 9-section LLM response (severity, root cause, mitigation, postmortem). Ships with a 5-scenario regression suite + LLM-as-judge eval pipeline.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Jul 11, 2026
- MCP server
- Ships MCP server
Source: package.json:@modelcontextprotocol/* · Jul 11, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Jul 11, 2026
Categories
Tags
README
License
MIT
Built in 30 days as a side project to learn AI engineering and evaluation methodology.