nugehs/aiglare

Finds every spot where LLM output reaches a user or triggers a side-effect — and flags the unguarded ones. CLI + MCP.

1Stars on the repository

1Mods indexed here, across every type

2mo agoLast push, which is what freshness is scored on

MITLicence, which decides whether bodies are shown

MCP server Claude CodeCodexCursor

Audit AI/LLM features for governance guardrails: confidence, fallback, validation, human-in-loop. Runs locally from the @nugehs/aiglare npm package.

1 2mo ago A tokens not measured original MIT