Agent skill

Adversarial Review

by EpicenterHQ in EpicenterHQ/epicenter

Independently challenge a design and its underlying model to find deletion prizes and stronger invariants.

Custom licenceAuto-check passedDevelopment

Install Adversarial Review

skills CLI
$ npx skills add EpicenterHQ/epicenter --skill adversarial-review -a claude-code

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

GitHub CLI
$ gh skill install EpicenterHQ/epicenter 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/EpicenterHQ/epicenter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/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
4.8k
Token cost
~3.6k tokens
SKILL.md length
1,963 words
Files
3 (incl. references)
Skills in repo
65
Repo updated
First seen
Licence
Custom licence

At a glance

Independently challenge a design and its underlying model to find deletion prizes and stronger invariants.

  • Asking for an adversarial review
  • SKILL.md covers Establish independence, Reconstruct before judging, Find the deletion prize and Return a decision, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • An independent architecture review

What it does

Adversarial Review is an agent skill from EpicenterHQ/epicenter. Independently challenge a design and its underlying model to find deletion prizes and stronger invariants. Use when asking for an adversarial review, an independent architecture review, or an adversarial checkpoint on a plan or cumulative implementation. Do not use for routine final code inspection, which belongs to post-implementation-review.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/deletion-prizes.md` and `references/example-workflow.md`).

It sits in Development, covering Software architecture. The repository describes itself as: Open-source, local-first apps.

When your agent uses it

  • Asking for an adversarial review
  • An independent architecture review
  • An adversarial checkpoint on a plan
  • Cumulative implementation

Example prompts

  • “/adversarial-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 5b4bb69. 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 3.6k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 1,963 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,963 words (~3,609 tokens).

“Independently reconstruct the affected system, then hunt for the decision that would make a whole family of code or planned work unnecessary. Ask what stronger invariant, different owner, or smaller promise would let the system collapse. Passing tests and individually…”

— opening of SKILL.md by EpicenterHQ, Custom licence
name
adversarial-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/adversarial-review of EpicenterHQ/epicenter.

  • SKILL.md
  • references/deletion-prizes.md
  • references/example-workflow.md

Open the folder on GitHubat commit 5b4bb69

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 skillEpicenterHQ/epicenter4.8k—~3.6kAutomated safety check: PassCustom licence
Archify Diagramstt-a1i/archify82k—~2.9kAutomated safety check: PassMIT
Electron Multi-Process ArchitectureiOfficeAI/AionUi33k1 repos~1.8kAutomated safety check: PassApache-2.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence
Dark Architecture Diagram BuilderCocoon-AI/architecture-diagram-generator7.4k1 repos~2.1kAutomated safety check: PassMIT
SVG Diagram GeneratorJimLiu/baoyu-skills27k1 repos~3.1kAutomated safety check: PassMIT

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Categories

Questions about Adversarial Review

What does Adversarial Review do?

Independently challenge a design and its underlying model to find deletion prizes and stronger invariants. Adversarial Review is an agent skill from EpicenterHQ/epicenter. Independently challenge a design and its underlying model to find deletion prizes and stronger invariants.

When should I use Adversarial Review?

Adversarial Review fits situations like: asking for an adversarial review; an independent architecture review; an adversarial checkpoint on a plan; cumulative implementation.

How do I install Adversarial Review in Claude Code?

Run `npx skills add EpicenterHQ/epicenter --skill adversarial-review -a claude-code`. Or copy the skill folder (.agents/skills/adversarial-review in EpicenterHQ/epicenter) 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 EpicenterHQ/epicenter --skill adversarial-review -a codex`. Or copy the skill folder (.agents/skills/adversarial-review in EpicenterHQ/epicenter) 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 EpicenterHQ/epicenter --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?

Adversarial Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Adversarial Review use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Adversarial Review?

Skills that share tags, products or a category with Adversarial Review: Archify Diagrams (tt-a1i/archify, 82k stars), Electron Multi-Process Architecture (iOfficeAI/AionUi, 33k stars), Backend Code Review (langgenius/dify, 158k stars) and Dark Architecture Diagram Builder (Cocoon-AI/architecture-diagram-generator, 7.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adversarial Review?

EpicenterHQ (a GitHub organization) maintains it in EpicenterHQ/epicenter, which has 4,822 GitHub stars. The repository holds 65 skills in this directory. The repository was last updated on October 8, 2026.

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