Evaluation

Adversarial PR Review

Separate builder and critic so “looks good to me” means something.

Use when

One model built the change and should not grade its own homework.

difficultyAdvanced
categoryEvaluation
sourceAdapted pattern

Cadence

For meaningful PRs

Verification

An independent critic approves the unchanged version or only accepted findings remain.

Structured loop spec

FieldValue
NameAdversarial PR Review
CategoryEvaluation
TriggerFor meaningful PRs
ObjectiveSeparate builder and critic so “looks good to me” means something.
Allowed inputsRelevant files, source notes, logs, tests, screenshots, metrics, or task state for this loop
Allowed actionsDefine the exact scope, source of truth, and approval boundary.; Inspect current state and rank the highest-risk gap.; Make one small, reversible improvement.; Run the stated verification and record evidence.; Stop on success, budget, no progress, or approval required.
VerificationAn independent critic approves the unchanged version or only accepted findings remain.
Stop conditionStop when the verifier passes, the budget is exhausted, no progress is made, a blocker appears, or approval is required.
BudgetSet a time, turn, token, retry, file, or dollar cap before running the loop.
Approval boundaryHuman approval required before publishing, sending, deleting, spending, changing accounts, touching production, or making reputational/legal/financial commitments.
Safe outputDraft, report, checklist, table, or approval-gated recommendation
Works withClaude, ChatGPT, Gemini, any tool-using AI assistant

Steps

  1. Define the exact scope, source of truth, and approval boundary.
  2. Inspect current state and rank the highest-risk gap.
  3. Make one small, reversible improvement.
  4. Run the stated verification and record evidence.
  5. Stop on success, budget, no progress, or approval required.

Prompt

Run the Adversarial PR Review loop. Use it when One model built the change and should not grade its own homework. Work in bounded iterations: inspect current state, choose the highest-risk gap, make one reversible improvement, verify it, and record evidence. Stop when An independent critic approves the unchanged version or only accepted findings remain. or when blocked, budget exhausted, or approval is required.

Run in Claude Code

Paste this into Claude Code (or any tool-using agent) to run the loop bounded: one change per round, the same verification every round, durable state files, and explicit stop conditions.

Run the "Adversarial PR Review" loop from AI Loop Library (https://ailooplibrary.com/loops/adversarial-pr-review/) as a bounded loop.
Goal: Separate builder and critic so “looks good to me” means something.
Rules: one change per round; run the same verification every round (An independent critic approves the unchanged version or only accepted findings remain.); append each round to docs/loops/adversarial-pr-review/progress.md and update docs/loops/adversarial-pr-review/state.json; stop on verifier pass, 8 rounds, 3 consecutive failed verifications, no progress, a blocker, or anything needing human approval (money, production, outbound, deletion). Finish with a proof report: rounds used, changes made, verification output, remaining risk, and the next human decision.

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Tags

code reviewmulti-agentPR

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