adversarial-review SKILL.md skillA

adversarial-review from syahiidkamil/software-engineer-ai-agent-atlas is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add syahiidkamil/software-engineer-ai-agent-atlas/adversarial-review@git:20260616.dc49c8f

Pins git:20260616.dc49c8f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
syahiidkamil/software-engineer-ai-agent-atlas
Path
.claude/skills/adversarial-review/SKILL.md
Versions recorded
1
Latest version
git:20260616.dc49c8f, committed Jun 16, 2026
Size
5,228 bytes
Repository stars
404
License
none declared

Adversarially review something just built — presume it is broken and find where. Use after implementing a feature, finishing a build, or before shipping, or whenever ATLAS or Boss wants a hostile second opinion on a diff, a running app, or a whole codebase. Spawns clean-context reviewers with opposing lenses (correctness, security, empty-world) and reproduces every finding by running the target before believing it. Distinct from /code-review, which statically reads a diff and never runs the app.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Adversarial review — presume it broken, find where

A normal review reads code and looks for reasons to approve it. An adversarial review starts from the
opposite prior: **this was just built, it is presumed broken, and the job is to find where.** The
builder believes in their work — that belief is exactly the blind spot. So the reviewer must be
incentivized to find failure, not confirm success, and must work *without the builder's context* so it
cannot inherit the builder's assumptions.

This skill is the canonical adversarial-review protocol for ATLAS. Reach for it autonomously after
building anything non-trivial, before shipping, or when handed unfamiliar code to harden.

## When to use it — and which review

- **Use this** when you want the thing *attacked*: a feature you just finished, a build before
  delivery, a flow you suspect is fragile, an unfamiliar codebase you must trust.
- **Use `/code-review` instead** for a fast, conservative pass over a **diff or PR** — it statically
  reads the change for bugs and cleanups, scores confidence, and **never runs the app**. That is the
  right tool for routine change review.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add syahiidkamil/software-engineer-ai-agent-atlas/adversarial-review@sha256:a906fc3404c7159c

The line at the top of this page pins the label git:20260616.dc49c8f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mi7y5bdhqrsks6io.svg)](https://markdownregistry.com/a/art_mi7y5bdhqrsks6io)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 16, 2026.

versioncommittedcommitsizeaudit
git:20260616.dc49c8f latest2026-06-16 dc49c8f 5,228 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5228 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

syahiidkamil/software-engineer-ai-agent-atlas · 404 stars · license none declared · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mi7y5bdhqrsks6io
GET https://markdownregistry.com/api/v1/resolve?ref=syahiidkamil/software-engineer-ai-agent-atlas/adversarial-review
GET https://markdownregistry.com/api/v1/blob/a906fc3404c7159c224ba2b2be9c60fbb49652393fdc5a2535de59079185bf3c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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