Check that every claim in answer has support in context. Returns per-claim grounded/ungrounded + an overall verdict (CLEAN / PARTIALLY_GROUNDED / FABRICATED). Use inline during an agent conversation to flag hallucinated responses before they become user-facing facts. Sub-second, local, no API key.

Scan Python source code for try/except patterns that swallow errors or substitute fabricated mock data — the silent-fake-success pattern from the r/ClaudeAI thread. Flags pass-only handlers, mock-substitution returns, silent log-and-return, and bare excepts. Each finding includes a line number + severity + code excerpt.

Multi-turn agent transcript review — flags unverified completion claims (assistant says 'I've configured X' with no supporting tool calls), cross-turn factual contradictions, and tool calls without observable side effects. Pass an array of {role, text, tool_calls?} objects.

v1.1+ — Compare an agent's stated outcome against actual before/after state snapshots. Catches the [@chiefofautism, 158↑] failure mode: agent runs rm -rf / git push --force and then says 'I cleaned up the project structure' — bash-vet catches the destructive command, this checks the misreport about what got done. Also catches the Codex-CoT sandbox-escalation pattern: agent acknowledges read-only constraint, then writes anyway (pass read_only: true in the before snapshot). Pure function — caller captures snapshots; server is stateless. Returns ActionOutcomeReport with verdict (CLEAN / PARTIALLY_GROUNDED / FABRICATED / UNVERIFIED) + per-mismatch evidence.