Agent skill

Adversarial Review

by MillenniumDawn in MillenniumDawn/Millennium-Dawn

Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review…

CC-BY-SA-4.0Auto-check passedTesting & QA

Install Adversarial Review

skills CLI
$ npx skills add MillenniumDawn/Millennium-Dawn --skill adversarial-review -a claude-code

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

GitHub CLI
$ gh skill install MillenniumDawn/Millennium-Dawn 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/MillenniumDawn/Millennium-Dawn.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
140
Token cost
~475 tokens
SKILL.md length
232 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
CC-BY-SA-4.0

At a glance

Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review…

  • Works in 3 steps: Gather context → Challenge every changed block → Output
  • Asked to adversarially review
  • SKILL.md covers 1. Gather context, 2. Challenge every changed block and 3. Output
  • Calls git

What it does

Adversarial Review is an agent skill from MillenniumDawn/Millennium-Dawn. Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review misses. Use when asked to adversarially review, stress-test, or find edge cases in a change.

Its SKILL.md is about 480 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 Testing & QA, covering Load testing. The repository describes itself as: Millennium Dawn and it's codebase. The licence is CC-BY-SA-4.0.

When your agent uses it

  • Asked to adversarially review
  • Find edge cases in a change

Example prompts

  • “/adversarial-review”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Gather context
  2. Challenge every changed block
  3. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 365024b. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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 475 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~475

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

The full file from MillenniumDawn/Millennium-Dawn at commit 365024b, republished under its CC-BY-SA-4.0 licence (© MillenniumDawn). 232 words, ~475 tokens.

Download SKILL.mdSave it as .claude/skills/adversarial-review/SKILL.md (or your agent's skills folder).
name
adversarial-review
description
Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review misses. Use when asked to adversarially review, stress-test, or find edge cases in a change.

Syntax: /adversarial-review [file_path]. Without a path, review every file the branch changes against main.

Do not check compliance against known rules. Imagine every way the change could break in practice.

1. Gather context

git log origin/main..HEAD --oneline and git diff origin/main...HEAD. Identify the changed files and their types.

If the diff touches tools/**, dispatch tools-reviewer in parallel with the list of changed tooling files, and fold its findings into the report.

2. Challenge every changed block

Apply both sections of .claude/docs/bug-patterns.md, plus the relevant parts of .claude/docs/scripting-edge-cases.md and .claude/docs/hoi4-data-structures.md. Flag every question whose answer is "no, it is not handled".

3. Output

Lead with the findings, or "No findings in the reviewed scope." Per file:

  1. The path and type.
  2. A numbered issue list with category labels ([Scope], [Timing], [Variable], [Silent], [Cross-Country], [GUI], [Content]) and line numbers.
  3. For each issue: the exact scenario that breaks, what happens to the player or game state, and a suggested defense, or a note that the omission looks intentional.

Mark anything that could corrupt a save, soft-lock the player, or crash the GUI [critical]. State what was not verified.

When the branch has an open PR, a title or body that does not match the diff is a [blocker]. Name what the body claims that the diff lacks and what the diff contains that the body omits. A missing body counts.

End with BLUF.

© MillenniumDawn, CC-BY-SA-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/adversarial-review of MillenniumDawn/Millennium-Dawn.

Open the folder on GitHubat commit 365024b

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 skillMillenniumDawn/Millennium-Dawn140—~475Automated safety check: PassCC-BY-SA-4.0
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1731 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision331—~2.9kAutomated safety check: PassMIT

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Categories

Questions about Adversarial Review

What does Adversarial Review do?

Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review…. Adversarial Review is an agent skill from MillenniumDawn/Millennium-Dawn. Adversarial edge-case hunt over the branch diff or a single file: challenges every change for unhandled scenarios, silent failures, scope/timing/variable traps, and logic gaps rule-based review misses.

When should I use Adversarial Review?

Adversarial Review fits situations like: asked to adversarially review; find edge cases in a change.

How do I install Adversarial Review in Claude Code?

Run `npx skills add MillenniumDawn/Millennium-Dawn --skill adversarial-review -a claude-code`. Or copy the skill folder (.claude/skills/adversarial-review in MillenniumDawn/Millennium-Dawn) 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 MillenniumDawn/Millennium-Dawn --skill adversarial-review -a codex`. Or copy the skill folder (.claude/skills/adversarial-review in MillenniumDawn/Millennium-Dawn) 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 MillenniumDawn/Millennium-Dawn --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?

Going by SKILL.md and its folder, Adversarial Review needs the command-line tools its instructions call (git).

Does Adversarial Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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?

Adversarial Review is published under the CC-BY-SA-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Adversarial Review use?

About 475 tokens (SKILL.md is roughly 1.9k 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: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 173 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adversarial Review?

MillenniumDawn (a GitHub organization) maintains it in MillenniumDawn/Millennium-Dawn, which has 140 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 10, 2026.

Source: MillenniumDawn/Millennium-Dawn on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.