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Skills/poteto/noodle/adversarial-review
adversarial-review logo

adversarial-review

poteto/noodle
890 installs191 stars
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Installation

npx skills add https://github.com/poteto/noodle --skill adversarial-review

Summary

>-

SKILL.md

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.

Build each reviewer's prompt using the template in references/reviewer-prompt.md.

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 using the format in references/verdict-format.md.

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 the Lead Judgment section to the verdict (see references/verdict-format.md).

Score

0–100
55/ 100

Grade

C

Popularity15/30

890 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Adversarial Review skill score badge previewScore badge

Markdown

[![Adversarial Review skill](https://www.remoteopenclaw.com/skills/poteto/noodle/adversarial-review/badges/score.svg)](https://www.remoteopenclaw.com/skills/poteto/noodle/adversarial-review)

HTML

<a href="https://www.remoteopenclaw.com/skills/poteto/noodle/adversarial-review"><img src="https://www.remoteopenclaw.com/skills/poteto/noodle/adversarial-review/badges/score.svg" alt="Adversarial Review skill"/></a>

Adversarial Review FAQ

How do I install the Adversarial Review skill?

Run “npx skills add https://github.com/poteto/noodle --skill adversarial-review” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Adversarial Review skill do?

>- The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Adversarial Review skill free?

Yes. Adversarial Review is a free, open-source skill published from poteto/noodle. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Adversarial Review work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Adversarial Review works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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