dev-adversarial-code-review SKILL.md skillA

dev-adversarial-code-review from fourteen1416/academic-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fourteen1416/academic-agent-toolkit/dev-adversarial-code-review@v2.9.0

Pins v2.9.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fourteen1416/academic-agent-toolkit
Path
academic-toolkit/skills/dev-adversarial-code-review/SKILL.md
Versions recorded
3
Latest version
v2.9.0, committed Oct 27, 2026
First version recorded
Sep 23, 2026
Size
11,704 bytes
Repository stars
12
License
a license file GitHub does not identify

Adversarial code review from hostile reviewer personas. Use when a genuinely critical review must break self-review blind spots.

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 Code Reviewer

## Description

Adversarial code review skill that forces genuine perspective shifts through three hostile reviewer personas (Saboteur, New Hire, Security Auditor). Each persona MUST find at least one issue — no "LGTM" escapes. Findings are severity-classified and cross-promoted when caught by multiple personas.

## Features

- **Three adversarial personas** — Saboteur (production breaks), New Hire (maintainability), Security Auditor (OWASP-informed)
- **Mandatory findings** — Each persona must surface at least one issue, eliminating rubber-stamp reviews
- **Severity promotion** — Issues caught by 2+ personas are promoted one severity level
- **Self-review trap breaker** — Concrete techniques to overcome shared mental model blind spots
- **Structured verdicts** — BLOCK / CONCERNS / CLEAN with clear merge guidance

## Usage

```
/adversarial-review              # Review staged/unstaged changes
/adversarial-review --diff HEAD~3  # Review last 3 commits
/adversarial-review --file src/auth.ts  # Review a specific file
```

## Examples

### Example: Reviewing a PR Before Merge

```
/adversarial-review --diff main...HEAD
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fourteen1416/academic-agent-toolkit/dev-adversarial-code-review@sha256:299ac362f4f20280

The line at the top of this page pins the label v2.9.0, 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_7ydov7otogdv35uf.svg)](https://markdownregistry.com/a/art_7ydov7otogdv35uf)

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

Versions

The registry has recorded 3 versions of this file, between Sep 23, 2026 and Oct 27, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
v2.9.0 latest2026-10-27 16098cd 11,704 BA view · diff
v2.9.02026-09-27 a059f3a 11,678 BA view · diff
v2.9.02026-09-23 b04430e 11,670 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 (11704 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

fourteen1416/academic-agent-toolkit · 12 stars · license a license file GitHub does not identify · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7ydov7otogdv35uf
GET https://markdownregistry.com/api/v1/resolve?ref=fourteen1416/academic-agent-toolkit/dev-adversarial-code-review
GET https://markdownregistry.com/api/v1/blob/299ac362f4f2028053c8a69c0df27237687a6d66e8b2c1c7ae901fae57e11e49

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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