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.
npx skills add patrickdappollonio/claude-plugins --skill adversarial-review-fastgit clone --depth 1 https://github.com/patrickdappollonio/claude-pluginsWrote 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.
[](https://agentmods.dev/skills/patrickdappollonio/claude-plugins/adversarial-review-fast)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 5d ago Changed a1c4fa91dc50
- 6d ago Changed 3db671c39e1f
- 9d ago Changed d9172c5fcd88
- 17d ago Changed 538542051127
- 18d ago Changed fa5c67fcbae8
- 21d ago First seen · 236 lines · 187 tokens per session scan A af5e234375a3
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.
adversarial-review-fast compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| adversarial-review-fastpatrickdappollonio/claude-plugins | Skill | 9 | yesterday | MIT | A | 187 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |