adversarial-review-quick

adversarial-review-quick is a skill for Claude Code from patrickdappollonio/claude-plugins. It costs 186 tokens per session (15,527 once invoked), scanned A, original, MIT.

A smaller panel-based review process that checks a code change from eight independent, hostile viewpoints.

In plain words
What is it for?
Quick reviews of a pull request, commit, or local change, especially for design fit, tests, assumptions, observability, incomplete fixes, data integrity, and API contracts.
Why use it?
It looks for problems the author or main agent may overlook while using fewer reviewers than a full adversarial review. It does not cover areas such as input attacks, authorisation, concurrency, or state changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Part of the adversarial-review plugin — 3 skills shipped together

Good fit Quick reviews of a pull request, commit, or local change, especially for design fit, tests, assumptions, observability, incomplete fixes, data integrity, and API contracts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/patrickdappollonio/claude-plugins/adversarial-review-quick
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add patrickdappollonio/claude-plugins --skill adversarial-review-quick
Clone the repo
git clone --depth 1 https://github.com/patrickdappollonio/claude-plugins

Made for: Claude Code.

Or install adversarial-review, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for adversarial-review-quick

README.md
[![agentmods](https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/adversarial-review-quick/github.svg)](https://agentmods.dev/skills/patrickdappollonio/claude-plugins/adversarial-review-quick)
Your own site
<a href="https://agentmods.dev/skills/patrickdappollonio/claude-plugins/adversarial-review-quick"><img src="https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/adversarial-review-quick/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for adversarial-review-quick

Your own site · 80×15
<a href="https://agentmods.dev/skills/patrickdappollonio/claude-plugins/adversarial-review-quick"><img src="https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/adversarial-review-quick.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,527 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 370
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00186 $0.15527
Opus 5.5 $0.00074 $0.06211
Sonnet 5.5 $0.00037 $0.03105
Haiku 4.5 $0.00019 $0.01553

Measured 5d ago against content hash 1e1ddfedd348, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adversarial-review-quick scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/adversarial-review/skills/adversarial-review-quick/SKILL.md · 502 lines

How it starts

The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adversarial Review — Quick Panel

Overview

The same hostile review as the full adversarial-review skill, on as few reviewers as the change strictly needs. Each reviewer runs as a fresh subagent that assumes the code is broken and tries to prove it, from one narrow angle. Because they are fresh, none of them inherit the main session's reasoning or the author's rationalizations — that is the whole point.

This skill saves tokens by running fewer reviewers, never by skipping the verifier or the validator. It proposes a roster built only from what the diff actually contains, shows the user every reviewer it did not pick, and runs exactly what the user confirms. The verifier and the fix validator are not cut — they are what makes the output trustworthy, and they cost two agents.

This panel fits changes of about 500 to 2000 changed lines in one subsystem, with no database schema, sign-in, concurrency, or outside-service change. The full adversarial-review skill runs every reviewer with no picking; it exists for the change that deserves breadth, and for substantial work no full review has seen yet — when the user wants everything, send them there. The adversarial-review-fast skill runs one reviewer; it exists for changes up to about 500 lines and for re-checking the fixes a review produced. A plan is sized by what it would build: when the change under review is a plan document, count the code its tickets would touch once built, never the plan's own lines — diagrams, examples, and questions make a plan long without making the change large.

Every subagent is one-shot, and a second round is always a new subagent. Each reviewer, the verifier, and the validator gets one self-contained task, returns its result, and ends: it never waits for a reply, a follow-up, or the user, and it is never resumed, messaged again, or continued (SendMessage in Claude Code, or the equivalent elsewhere) — not to re-validate a revised fix, not to "check one more thing", not to explain a finding. When the review needs more, dispatch a fresh subagent with everything it needs in its prompt, including the earlier result. Two reasons, both binding: a subagent left idle loses its prompt cache within minutes, so the next message re-reads its whole history at full price, often hundreds of thousands of tokens; and an agent that has already argued a position is no longer independent. A command that may run past three minutes (a test suite, a build) runs in the background with output to a log, and the subagent checks it with a wait capped at three minutes until it finishes: a silent wait past five minutes expires its cache just the same. Claude: do not use dynamic workflows either — more token consumption for no functional gain. Plain one-shot subagents, dispatched in parallel.

Read the full file on GitHub · 502 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +2 lines 1e1ddfedd348
  2. 6d ago Changed e43b669dcafd
  3. 9d ago Changed bc469666aab4
  4. 17d ago Changed ea2eb99acb6c
  5. 18d ago Changed · +5 lines 5cf7b887c403
  6. 21d ago Changed · +3 lines · +33 tokens per session 2c4d64865264
  7. 28d ago Changed · +4 lines 92e0f3abc24f
  8. 1mo ago Changed 9873fbe7a654
  9. 1mo ago Changed · +2 lines a1dcd1fa2d3c
  10. 1mo ago First seen · 486 lines · 153 tokens per session scan A b973b903b22e

Subscribe to this mod's changes

adversarial-review-quick is a skill published in the GitHub repository patrickdappollonio/claude-plugins (9 stars, last pushed yesterday), licensed MIT. It adds 186 tokens to every session and 15,527 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

adversarial-review-quick compared with skills from other repositories

adversarial-review-quick next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
adversarial-review-quickpatrickdappollonio/claude-pluginsSkill9yesterdayMITA186Claude Code
autoreviewopenclaw/clawhubSkill9.5kyesterdayMITA17Claude Code, Codex
agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skillsSkill2.2k6d agoMITA115Claude Code, Codex
omh-code-reviewrlaope/oh-my-hermesSkill5.2kyesterdayMITA48Claude Code, Codex
revdiff-planumputun/revdiffSkill945yesterdayMITA84Claude Code
explore-unknownsdzhng/skillsSkill1.4k2d agoMITA162Claude Code, Codex
re0-mergeLilMGenius/paperthinSkill1.4k4d agoMITA70Claude Code