adversarial-review-fast

adversarial-review-fast is a skill for Claude Code from patrickdappollonio/claude-plugins. It costs 187 tokens per session (6,568 once invoked), scanned A, original, MIT.

A focused code review by a fresh reviewer that assumes a small change may be wrong and tests it from several relevant angles. It covers a limited change in one part of a system and can re-check fixes from an earlier review.

In plain words
What is it for?
Use it for a small feature or behavior change, a test change, or a follow-up review of fixes in one subsystem.
Why use it?
It adds an independent perspective without requiring a large review panel. This helps find defects or missed cases that the person who made the change may overlook.

Skill for Claude Code

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

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

Good fit Use it for a small feature or behavior change, a test change, or a follow-up review of fixes in one subsystem.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/patrickdappollonio/claude-plugins/adversarial-review-fast"><img src="https://agentmods.dev/badge/skills/patrickdappollonio/claude-plugins/adversarial-review-fast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 187 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,568 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.
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 $0.00187 $0.06568
Opus 5.5 $0.00075 $0.02627
Sonnet 5.5 $0.00037 $0.01314
Haiku 4.5 $0.00019 $0.00657

Measured 5d ago against content hash a1c4fa91dc50, 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-fast 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-fast/SKILL.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adversarial Review — Fast

Overview

The smallest adversarial review: one fresh subagent that has none of the main session's reasoning and assumes the change is broken. It attacks the change from two or three domains picked for this change, then checks its own findings and fixes against a checklist before it returns. It reviews only what changed since the last review when it can.

It is for a small change — up to about 500 lines, a test change, a small behavior change — and, above all, for re-checking the fixes a bigger review produced. The value is the same as the bigger panels: a reader without your context, told to prove you wrong. The saving is the panel: one agent instead of a roster plus two gates.

Three skills, one method, three sizes:

Skill Use it for
adversarial-review-fast (this one) ≤ about 500 changed lines and one subsystem and no database schema or migration, sign-in or permissions, concurrency, or calls to an outside service. Also the re-check of fixes after any review, and the mid-task sanity check below
adversarial-review-quick About 500 to 2000 changed lines in one subsystem, with no sensitive area — the user picks from 18 named reviewers, with a separate verifier and fix validator
adversarial-review No full review has run on this work yet and it is substantial — over 2000 lines, more than one subsystem, or a sensitive area. The 17 standing reviewers

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. The reviewer 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). More work — a second look, a revised fix, a follow-up question — is a new subagent with everything it needs in its prompt, the earlier result included. A subagent left idle loses its prompt cache within minutes, so the next message re-reads its whole history at full price, 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 for this. One plain subagent.

Read the full file on GitHub · 236 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 a1c4fa91dc50
  2. 6d ago Changed 3db671c39e1f
  3. 9d ago Changed d9172c5fcd88
  4. 17d ago Changed 538542051127
  5. 18d ago Changed fa5c67fcbae8
  6. 21d ago First seen · 236 lines · 187 tokens per session scan A af5e234375a3

Subscribe to this mod's changes

adversarial-review-fast is a skill published in the GitHub repository patrickdappollonio/claude-plugins (9 stars, last pushed yesterday), licensed MIT. It adds 187 tokens to every session and 6,568 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 2026-10-17.

Related

adversarial-review-fast compared with skills from other repositories

adversarial-review-fast next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
adversarial-review-fastpatrickdappollonio/claude-pluginsSkill9yesterdayMITA187Claude 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