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Verify AI coding reports against git diffs and return deterministic review decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "phionyx-pipeline-mcp" yet — see the docs or source repo.
Verify this AI coding agent’s completion report against the git diff and predefined gate rules. Determine whether the claimed bug fix was actually implemented, and return pass, regenerate, or reject with reasons.
A verification result with triggered rules, mismatches between claims and actual changes, and whether regeneration is required.
Use this tool in a CI pipeline to review an AI agent submission: compare the task brief, self-reported result, and git diff. If deterministic rules are not met, block the merge and generate feedback for retry.
Pipeline-friendly pass, retry, or reject directives with actionable failure reasons.
Check whether the scope of functionality claimed by the agent matches the actual code changes. Identify missing implementation, unrelated edits, or exaggerated claims, then produce a final audit decision based on the rules.
A scope-consistency audit result listing risks, mismatches, and the final recommended action.
Coordinate AI coding agents with identities, inboxes, thread search, and file leases.
Verify AI-generated code for quality, security, and performance with more trust.
Generate signed, tamper-evident audit evidence for third-party MCP tool calls.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Lets AI agents run Python, execute scripts, and install pip packages locally.