Adversarially review something just built — presume it is broken and find where.

No licenceAuto-check passedDevelopment

Install Adversarial Review

skills CLI
$ npx skills add syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill adversarial-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install syahiidkamil/Software-Engineer-AI-Agent-Atlas adversarial-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/adversarial-review .claude/skills/adversarial-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
adversarial-review
GitHub stars
401
Token cost
~1.3k tokens
SKILL.md length
691 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

Adversarially review something just built — presume it is broken and find where.

  • Works in 4 steps: Presumed-broken mandate. Every reviewer… → Context isolation. Reviewers run in… → Empirical reproduction. A finding is a… → …
  • Tasks that involve Code review
  • SKILL.md covers When to use it — and which…, The four invariants (what…, How to run it and Output — the report
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Adversarial Review is an agent skill from syahiidkamil/Software-Engineer-AI-Agent-Atlas. 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review. The repository describes itself as: ATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native…

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/adversarial-review”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Presumed-broken mandate. Every reviewer gets one instruction: *"this was just built and is
  2. Context isolation. Reviewers run in clean contexts (separate subagents) — they get the
  3. Empirical reproduction. A finding is a hypothesis until reproduced against the real target.
  4. Senior triage. Reproduce before fixing, fix what's real, re-verify the fix, and name the false

What it can do on your machine

Read from SKILL.md and the folder at commit fc0bf11. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Adversarial Review loads about 1.3k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 691 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 691 words (~1,296 tokens).

“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…”

— opening of SKILL.md by syahiidkamil
name
adversarial-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/adversarial-review of syahiidkamil/Software-Engineer-AI-Agent-Atlas.

Open the folder on GitHubat commit fc0bf11

Compare with similar skills

Adversarial Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Adversarial Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adversarial Review this skillsyahiidkamil/Software-Engineer-AI-Agent-Atlas401—~1.3kAutomated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow155k—~3.5kAutomated safety check: NotesMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence

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Categories

Questions about Adversarial Review

What does Adversarial Review do?

Adversarially review something just built — presume it is broken and find where. Adversarial Review is an agent skill from syahiidkamil/Software-Engineer-AI-Agent-Atlas. Adversarially review something just built — presume it is broken and find where.

When should I use Adversarial Review?

Adversarial Review fits situations like: tasks that involve Code review.

How do I install Adversarial Review in Claude Code?

Run `npx skills add syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill adversarial-review -a claude-code`. Or copy the skill folder (.claude/skills/adversarial-review in syahiidkamil/Software-Engineer-AI-Agent-Atlas) into .claude/skills/adversarial-review in your project. Claude Code loads it when a task matches its description.

How do I install Adversarial Review in Codex?

Run `npx skills add syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill adversarial-review -a codex`. Or copy the skill folder (.claude/skills/adversarial-review in syahiidkamil/Software-Engineer-AI-Agent-Atlas) into .agents/skills/adversarial-review in your project. Codex loads it when a task matches its description.

Can I use Adversarial Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add syahiidkamil/Software-Engineer-AI-Agent-Atlas --skill adversarial-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adversarial-review, .gemini/skills/adversarial-review, .github/skills/adversarial-review and .opencode/skills/adversarial-review in your project.

What does Adversarial Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Adversarial Review is instructions for the agent only.

Does Adversarial Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Adversarial Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Adversarial Review use?

No licence was found for Adversarial Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Adversarial Review use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Adversarial Review?

Skills that share tags, products or a category with Adversarial Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adversarial Review?

syahiidkamil (a GitHub user) maintains it in syahiidkamil/Software-Engineer-AI-Agent-Atlas, which has 401 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on June 25, 2026.

Source: syahiidkamil/Software-Engineer-AI-Agent-Atlas on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.