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Adversarial Review

  • 1 installs
  • 95 repo stars
  • Updated June 28, 2026
  • pedronauck/kodebase-go

Runs adversarial code review by spawning 1-3 reviewers on the opposite model (Claude spawns Codex, Codex spawns Claude) to challenge work from distinct lenses.

About

Spawns reviewers on the opposing model via its CLI to attack recent diffs or plans from distinct critical lenses and synthesize a verdict. A developer uses it after large diffs, plan phases or planning sessions to stress-test work against a different model.

  • Reviewers must run via the opposite model's CLI, not internal subagents
  • Deliverable is a synthesized verdict, no code changes

Adversarial Review by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #984 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pedronauck/kodebase-go --skill adversarial-review

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Listed on Skillselion
Installs1
repo stars95
Last updatedJune 28, 2026
Repositorypedronauck/kodebase-go

What it does

Runs adversarial code review by spawning 1-3 reviewers on the opposite model (Claude spawns Codex, Codex spawns Claude) to challenge work from distinct lenses.

Files

SKILL.mdMarkdownGitHub ↗

Adversarial Review

Spawn reviewers on the opposite model to challenge work. Reviewers attack from distinct lenses grounded in brain principles. The deliverable is a synthesized verdict — do NOT make changes.

Hard constraint: Reviewers MUST run via the opposite model's CLI (codex exec or claude -p). Do NOT use subagents, the Agent tool, or any internal delegation mechanism as reviewers — those run on _your own_ model, which defeats the purpose.

Step 1 — Load Principles

Read brain/principles.md. Follow every [[wikilink]] and read each linked principle file. These govern reviewer judgments.

Step 2 — Determine Scope and Intent

Identify what to review from context (recent diffs, referenced plans, user message).

Determine the intent — what the author is trying to achieve. This is critical: reviewers challenge whether the work _achieves the intent well_, not whether the intent is correct. State the intent explicitly before proceeding.

Assess change size:

SizeThresholdReviewers
Small< 50 lines, 1–2 files1 (Skeptic)
Medium50–200 lines, 3–5 files2 (Skeptic + Architect)
Large200+ lines or 5+ files3 (Skeptic + Architect + Minimalist)

Read references/reviewer-lenses.md for lens definitions.

Step 3 — Detect Model and Spawn Reviewers

Create a temp directory for reviewer output:

REVIEW_DIR=$(mktemp -d /tmp/adversarial-review.XXXXXX)

Determine which model you are, then spawn reviewers on the opposite:

If you are Claude → spawn Codex reviewers via codex exec:

codex exec --skip-git-repo-check -o "$REVIEW_DIR/skeptic.md" "prompt" 2>/dev/null

Use --profile edit only if the reviewer needs to run tests. Default to read-only. Run with run_in_background: true, monitor via TaskOutput with block: true, timeout: 600000.

If you are Codex → spawn Claude reviewers via claude CLI:

claude -p "prompt" > "$REVIEW_DIR/skeptic.md" 2>/dev/null

Run with run_in_background: true.

Name each output file after the lens: skeptic.md, architect.md, minimalist.md.

Reviewer prompt template

Each reviewer gets a single prompt containing:

1. The stated intent (from Step 2) 2. Their assigned lens (full text from references/reviewer-lenses.md) 3. The principles relevant to their lens (file contents, not summaries) 4. The code or diff to review 5. Instructions: "You are an adversarial reviewer. Your job is to find real problems, not validate the work. Be specific — cite files, lines, and concrete failure scenarios. Rate each finding: high (blocks ship), medium (should fix), low (worth noting). Write findings as a numbered markdown list to your output file."

Spawn all reviewers in parallel.

Step 4 — Verify and Synthesize Verdict

Before reading reviewer output, log which CLI was used and confirm the output files exist:

echo "reviewer_cli=codex|claude"
ls "$REVIEW_DIR"/*.md

If any output file is missing or empty, note the failure in the verdict — do not silently skip a reviewer.

Read each reviewer's output file from $REVIEW_DIR/. Deduplicate overlapping findings. Produce a single verdict:

## Intent
<what the author is trying to achieve>

## Verdict: PASS | CONTESTED | REJECT
<one-line summary>

## Findings
<numbered list, ordered by severity (high → medium → low)>

For each finding:
- **[severity]** Description with file:line references
- Lens: which reviewer raised it
- Principle: which brain principle it maps to
- Recommendation: concrete action, not vague advice

## What Went Well
<1–3 things the reviewers found no issue with — acknowledge good work>

Verdict logic:

  • PASS — no high-severity findings
  • CONTESTED — high-severity findings but reviewers disagree on them
  • REJECT — high-severity findings with reviewer consensus

Step 5 — Render Judgment

After synthesizing the reviewers, apply your own judgment. Using the stated intent and brain principles as your frame, state which findings you would accept and which you would reject — and why. Reviewers are adversarial by design; not every finding warrants action. Call out false positives, overreach, and findings that mistake style for substance.

Append to the verdict:

## Lead Judgment
<for each finding: accept or reject with a one-line rationale>

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