buddie
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- FlicenseNot gradedqualityBmaintenanceEnables AI agents and MCP clients to decompose text into atomic claims and cross-verify them against reference knowledge to flag ungrounded claims, numerical contradictions, and hallucinated entities. Runs deterministically with zero dependencies over JSON-RPC stdio, avoiding LLM round-trips for routine verification tasks.7-
- AlicenseAqualityAmaintenanceOpen-source verification for evidence-grounded AI. Runs deterministic grounding checks of AI outputs against source evidence, with no LLM judge.2161 npm1MIT
- AlicenseAqualityAmaintenanceEvidence-backed, read-only codebase diagnostics for coding agents: secrets, dependency, RLS, and source-impact audits with a verify loop and PR review verdicts. Never writes files or uses the network by default.4205 npmMIT
- AlicenseAqualityBmaintenanceMCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.458 PyPI1MIT
- AlicenseAqualityAmaintenanceEnables Claude to independently check an AI agent's work in a local git repository by recording a baseline, running only the checks relevant to the changed files, and cross-checking what the agent claimed. Returns a compact, evidence-labelled report with a verdict and a ready-to-paste next prompt, so unverified success claims can't slip through.8MIT
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TDQS
Scored across 4 tools
Each tool targets a different stage: snap creates snapshots, source_text retrieves quotable text, verify_report validates quotes/anchors, and summary reports subagent session outcomes. Their descriptions cross-reference each other, but the core actions are distinct enough to avoid misselection.
All names use lowercase snake_case and are readable, but the set mixes verb-led (verify_report), noun-phrase (source_text), bare verb (snap), and bare noun (summary) forms. There is no single predictable verb_noun pattern.
Four tools is a tight, well-scoped set for a snapshot/verification workflow. Each tool has a clear role and none appear redundant or missing for the stated purpose.
The set covers creating snapshots, extracting quotable text, verifying reports, and summarizing subagent sessions. It may lack explicit listing or searching of existing snapshots/reports, but the core lifecycle is present and workable.