blind-spot-pass
Use *before* starting work in a domain you don't know well, to surface the "unknown unknowns" — the things you don't even know to…
Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review",
Claude Code
$ npx -y skills add sangrokjung/claude-forge --skill review-loop --agent claude-code
Codex
$ npx skills add sangrokjung/claude-forge --skill review-loop -a codex -y
Cursor
$ npx skills add sangrokjung/claude-forge --skill review-loop -a cursor -y
Gemini CLI
$ npx skills add sangrokjung/claude-forge --skill review-loop -a gemini-cli -y
GitHub Copilot
$ npx skills add sangrokjung/claude-forge --skill review-loop -a github-copilot -y
OpenCode
$ npx skills add sangrokjung/claude-forge --skill review-loop -a opencode -y
Windsurf
$ npx skills add sangrokjung/claude-forge --skill review-loop -a windsurf -y
name: review-loop description: Run the adversarial verification loop — implement, then hand the change to a fresh checker that did not write it, fix what it finds, and re-dispatch until APPROVE. Use before claiming any behavioural change is done, and on requests like "review loop", "adversarial review", "independent review", "get this verified", "is this actually done", "maker checker", "second pair of eyes on this change". Not for prose, docs or typo edits.
> Nobody grades their own exam. The maker implements, a separate fresh checker tries to break the > claim, and the two alternate until the checker approves the code as it stands right now.
Any change to behaviour: executable code, shell/Python/JS/TS/SQL, CI/CD, hooks, commands, agent and skill definitions, runtime prompts, and configuration that changes what the system does.
Exempt: prose documentation, marketing copy, typos, and formatting that cannot change behaviour. When a documentation-only change also touches something a runtime reads, it is behavioural. If you are unsure which side a change falls on, treat it as behavioural.
File count and diff size are not exemptions. A one-line change to an authorization check is behavioural; a 900-line documentation reflow is not.
| Risk | Lanes required | |---|---| | Ordinary behavioural change | 1 independent checker | | Auth, authorization, payments, access-control rules, secrets, destructive data changes, irreversible deploys | 2 lanes, run by different checkers: correctness plus the risk-specific angle (runtime security, or rollback) |
maker implements → targeted test / real-surface QA → fresh checker
↑ │
└────────── REQUEST_CHANGES ← findings ──────────────┘
│
APPROVE on current code → doneThere are exactly three verdicts: `APPROVE`, `REQUEST_CHANGES`, `UNVERIFIED`.
checked out now, with evidence produced from that same revision.
a fresh checker again. Fixing more than the findings restarts the argument.
errored, was rate-limited, returned a malformed envelope, or reviewed a state that has since moved. It is not a pass. Retry with a different checker, runtime, or strategy.
If a checker modifies the source, it has joined the maker set and its verdict is void. A past maker can never be that change's checker.
1. **Implement.** Keep the change inside the scope you declared. Unrelated cleanup that arrives in the same diff will be reviewed as part of it.
2. **Produce evidence before dispatch.** Run the targeted tests and, when the change has a surface a person uses, exercise that surface the way they would. Record the exact commands and their exit status. Evidence from before your last edit is stale.
3. **Dispatch a fresh checker.** Use the Task/Agent tool to spawn `adversarial-reviewer` in its own context, or a general-purpose agent given that agent's contract. Hand it:
Do not hand it your conclusion. "I verified this works" is the claim under test, not context.
4. **Read the verdict, not the tone.** A checker that praises the change but lists a HIGH finding has returned REQUEST_CHANGES. A checker that died mid-run has returned UNVERIFIED, however encouraging its last message was.
5. **Fix and re-dispatch.** Every round gets a checker with a fresh context. Reusing the previous checker means asking someone to re-read their own conclusion.
6. **Stop when a current APPROVE exists** for the code as it stands, backed by evidence from that same revision.
When you come back for round N+1, say so plainly:
addresses;
written under review pressure is exactly where a second one hides.
Both of the defects worked through in `docs/VERIFICATION-LOOP.md` were found this way: the first review broke the guard, and the review of the *fix* broke the fix.
Three rounds on the same strategy is not a reason to stop, and it is not a reason to keep going unchanged. Switch strategy: a different reproduction, a narrower test, a different checker or runtime, or a re-plan of the approach. See `references/convergence-detection.md`.
Escalate to the human when the same finding comes back REQUEST_CHANGES twice in a row: two failed attempts at one defect means the diagnosis is wrong, and a third attempt usually makes it worse. Report the finding, both attempted fixes, and the reproduction. See `rules/adversarial-review.md`.
In every one of those cases the honest report is what is missing, not "done".
oh-my-zsh for Claude Code — 16 agents, 35 commands, 32 skills, 21 safety hooks in one install. v4.0 adds an adversarial review loop: a second agent that never sees the first one's reasoning. MIT.
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Ask which skill or flow fits your situation. A router over the skills in this repo.