adversarial-loop
SkillDev toolsIndependently review and fix a scoped diff through bounded convergence rounds, with evidence-backed closure and explicit stop/recovery decisions. Use for requested adversarial review-and-fix loops, not a single read-only review.
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Then ask your AI: use the adversarial-loop skill
What this skill tells your AI
The instructions your AI receives, as published by borda/ai-rig in plugins/codex-rig/skills/adversarial-loop/SKILL.md and read by ahel’s review.
Before asking, read User Questions.
Adversarial Loop
Read, apply ../../shared/adversarial-loop.md before dispatch or edits. That shared procedure owns the algorithm; this entrypoint owns Codex artifacts, the closing gate. Read evidence-contract.md before source capture or reviewer dispatch. Also read ../../shared/native-skill-contract.md and ../../shared/specialist-orchestration.md for authority, recurrence, reviewer admission, evidence limits.
Input Schema
{
"goal": "required review-and-fix objective",
"scope_files": ["bounded files or diff scope"],
"specification": "required behavior or acceptance criteria",
"symptom": "reported failure, or explicit preventive review",
"caller_run": "optional existing workflow run to resume",
"done_when": "independent final review is clean and normal checks pass"
}
Use default max 3 review rounds, including initial W_0. No implicit authorization for structural changes, commits, installs, network access, or publication. A caller's stricter scope or admission still applies.
Workflow
01: Establish scope and evidence ownership
Read ../../shared/helper-cli-contract.md; create a run with create_run.py --skill adversarial-loop. Record caller_run when supplied, without overwriting its artifacts. Retain baseline source and acceptance evidence. Write loop-report.md with Scope, Rounds, Findings, Recovery, and Verification sections. Identify implementation author and allowed reviewer route before dispatch.
02: Run the shared bounded procedure
Follow the shared procedure, retaining loop-ledger.json, round-<index>.diff, current snapshot current.diff, each independent report in this run. Read adversarial_loop.py --help, validate the ledger after each round. Structural finding, repeated signature, plateau, non-converging trend, unavailable independence, stale evidence, or exhausted rounds stops this loop as specified by the shared procedure. A fixed-pending-verification finding remains open.
Collect scoped source snapshots with the existing collect_diff.py snapshot mode, retain loop-evidence.json per evidence-contract.md. Use existing Code Review routing, frozen contexts, specialist manifests for reviewer provenance; never manufacture a second runtime evidence format. Every participating reviewer receives the exact snapshot contents, diff, response contract, returns one structured response containing every finding, with only the route-required provenance header outside it. Preserve original reports and runtime evidence.
This explicitly requested loop uses the shared orchestration policy's bounded serial-review exception, not additional parallel waves or write delegation. Re-plan and request a decision only when the next round needs new scope, authority, or a caller-specific approval. There is no fake independence fallback: parent-serial inspection stays labeled non-independent and cannot satisfy this skill's clean outcome.
03: Verify closure and run normal gates
Require independent final current-diff coverage before reporting clean. Run adversarial_loop.py --ledger <run-directory>/loop-ledger.json for the computed stop decision, then this skill's validate_evidence.py for existing reviewer provenance, returned findings, dispatched source contents, freshly recaptured current source. Derive the runtime log root and active CODEX_THREAD_ID from the observed host configuration, never from review input or the ledger. A declared identity or saved hash alone is insufficient. Never turn rejected evidence into accepted coverage.
Use run_gates.py for actual project lint, format, types, tests, review, with explicit reasons for genuinely inapplicable checks. Include adversarial_loop.py --ledger <run-directory>/loop-ledger.json --require-clean in the review gate, along with checks of independent coverage, current source, request conformance. The flag exits nonzero for a valid but non-clean loop, so a stopped ledger cannot masquerade as a passing review gate. Report status=fail with the concrete reason when the loop is not clean. For a supplied caller, resume its first unmet checkpoint, complete its ordinary gates and artifact contract too; neither result substitutes for the other.
04: Validate and hand off
Store the checker's exact JSON summary in ADVERSARIAL_LOOP_METADATA.adversarial_loop. Follow the shared helper lifecycle: render bound handoff, write candidate with write-result.py, validate as adversarial-loop, promote only validated artifacts. Include confidence evidence, gaps, recovery, residual limits. Shared validation reruns evidence validation as well as binding the computed decision and visible output. Existing native or App Server evidence retains its actual trust level; neither becomes cryptographic proof of source correctness.
Fail-Fast Rules
- Missing scope, specification, source, or required independent route prevents clean completion.
- Shared hard stops take precedence over improvement and passing tests; never apply a structural fix inside this loop.
- A malformed ledger, missing report, snapshot mismatch, or unverified closure blocks acceptance. Preserve the failed evidence and give the specific recovery, not a bare unresolved status.
- A clean loop does not waive caller completion checks, authorization, or recurrence rules.
Quality Gates
Use ../../shared/quality-gates.md. Required review evidence includes the validated ledger, original independent reports, current snapshot binding, finding dispositions, caller completion when applicable. No finding disappears merely because it was not selected or a check became green.
Calibration Hooks
Cover clean review, pending fixes, unchanged signatures, structural stops, score boundaries, round cap, source changes after review, unavailable independent coverage, self-contained reply topic. Exercise both recovery and truthful failed handoffs; never weaken independent coverage to pass calibration.
Output Contract
Follow ../../shared/final-handoff-contract.md; after validation and promotion emit final.md verbatim. Use result-template.json for schema-v2 metadata.
Final chat
Outcome: identify the reviewed topic andcleanor the specific stop reason.Results: exactlyIteration | Open findings | Weighted score | Decision | Evidence, one row per independent round. Use one-based index, counts insecurity=0, critical=0, high=0, medium=0, low=0, nit=0order with actual values, computed score, exact checker decision, and the retained report path. For no independent round usenot-run | Not assessed | N/A | independence-unavailable | loop-report.md.- Show the score series and each remaining finding's disposition, reason, owner, and next action. Report actual implemented fixes separately from evidence-only closure; no code fixes means say so. The common result counts fold security into critical and nit into low; the ledger retains all six tiers.
Next steps: recommended recovery and relevant alternatives on stops; ask only for the missing decision.- Confidence includes independence/provenance and execution limits, not just a number. Artifact:
.reports/codex/adversarial-loop/<timestamp>/result.json.
Signals
- GitHub stars
- 27
- Forks
- 4
- Last commit
- Sep 2026
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adversarial-loop- Source
- github.com/borda/ai-rig