adversarial-review SKILL.md skillA

adversarial-review from arcanada-one/datarim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add arcanada-one/datarim/adversarial-review@git:20261004.8dfccd1

Pins git:20261004.8dfccd1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
arcanada-one/datarim
Path
skills/adversarial-review/SKILL.md
Versions recorded
1
Latest version
git:20261004.8dfccd1, committed Oct 4, 2026
Size
3,725 bytes
Repository stars
16
License
MIT

Forces an adversarial mindset on a plan, PRD, design, or code change — break it rather than bless it. Loaded at the /dr-plan checkpoint and /dr-qa.

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 — Break It Before Production Does

The default failure mode of review is confirmation: a reader who wants the
artifact to be correct finds reasons it is. This skill inverts the stance. Your
job is to construct the strongest case that the artifact is **wrong,
incomplete, or unsafe** — and only then weigh that case against its defence.

This is the *general* adversarial lens. Two sibling skills sharpen specific
axes: `edge-case-hunter` (boundary and failure inputs the artifact does not
handle) and `structure-review` (organisation, completeness, internal
contradiction). Load whichever the task calls for; this skill covers the
mindset and the whole-artifact attack.

## The core rule: "no findings" is an alarm, not an all-clear

If an adversarial pass produces zero findings, that is evidence the pass was
shallow — not that the artifact is flawless. Before you may record "no
material findings", you MUST have done at least one of:

- named the artifact's single most load-bearing assumption and tried to falsify it;
- traced one concrete failure scenario end-to-end and shown it cannot occur;
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add arcanada-one/datarim/adversarial-review@sha256:1526b3ff7b44b61f

The line at the top of this page pins the label git:20261004.8dfccd1, 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_ycpyrgisxhj7kwxs.svg)](https://markdownregistry.com/a/art_ycpyrgisxhj7kwxs)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 4, 2026.

versioncommittedcommitsizeaudit
git:20261004.8dfccd1 latest2026-10-04 8dfccd1 3,725 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 (3725 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

arcanada-one/datarim · 16 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ycpyrgisxhj7kwxs
GET https://markdownregistry.com/api/v1/resolve?ref=arcanada-one/datarim/adversarial-review
GET https://markdownregistry.com/api/v1/blob/1526b3ff7b44b61f3df76b57df8a145072611bc578700b207b41d36e95f202de

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.

More from arcanada-one/datarim

AGENTS.md AGENTS.md file
arcanada-one/datarim · AGENTS.md
git:20261028.4d65313 · audit B · 16 stars
decision-record SKILL.md skill
arcanada-one/datarim · plugins/product-discovery/skills/decision-record/SKILL.md · Record bounded product decisions with counterevidence, uncertainty, and explicit reversal conditions.
git:20261015.ae54b30 · audit A · 16 stars
hypothesis-validation SKILL.md skill
arcanada-one/datarim · plugins/product-discovery/skills/hypothesis-validation/SKILL.md · Use when a product decision depends on an uncertain claim and needs a bounded, falsifiable check.
git:20261014.e0361eb · audit A · 16 stars
product-framing SKILL.md skill
arcanada-one/datarim · plugins/product-discovery/skills/product-framing/SKILL.md · Structure a bounded product opportunity inquiry and preserve evidence limits.
git:20261014.1e55600 · audit A · 16 stars
ai-quality SKILL.md skill
arcanada-one/datarim · skills/ai-quality/SKILL.md · Five pillars of AI-assisted development — decomposition, TDD, architecture-first, focused work, context. Method size…
git:20261004.8dfccd1 · audit A · 16 stars
artifact-context SKILL.md skill
arcanada-one/datarim · skills/artifact-context/SKILL.md · Canonical conventions for native agents generating or editing Datarim artifacts, including stage headers, frontmatter…
git:20261004.9edafd3 · audit A · 16 stars
autonomous-mode SKILL.md skill
arcanada-one/datarim · skills/autonomous-mode/SKILL.md · Question Suppression Ladder + L1 Inline Resolution Rule + Hard-gated Action Boundary. Activated by DATARIM_AUTO_MODE=1…
git:20261025.5de8fd6 · audit A · 16 stars
brainstorming SKILL.md skill
arcanada-one/datarim · skills/brainstorming/SKILL.md · MUST use this before any creative work — features, components, functionality, behavior changes. Explores user intent…
git:20261004.8dfccd1 · audit A · 16 stars
code-contracts SKILL.md skill
arcanada-one/datarim · skills/code-contracts/SKILL.md · Define, use, and enforce @cc code-contracts across a codebase.
git:20261004.8dfccd1 · audit A · 16 stars
compliance SKILL.md skill
arcanada-one/datarim · skills/compliance/SKILL.md · Post-QA hardening — detects task type (code, docs, research, legal, content, infra) and applies the matching…
git:20261022.82617f9 · audit A · 16 stars
consilium SKILL.md skill
arcanada-one/datarim · skills/consilium/SKILL.md · Assemble a panel of Datarim agents for multi-perspective analysis of decisions. Use for /dr-design stage (L3-4) or…
git:20261004.9edafd3 · audit A · 16 stars
context-window-self-clearing SKILL.md skill
arcanada-one/datarim · skills/context-window-self-clearing/SKILL.md · Preserve Datarim task continuity while orchestrated Claude Code or Codex sessions compact or clear context at…
git:20261004.8dfccd1 · audit A · 16 stars

Every file in arcanada-one/datarim

Other files named adversarial-review

adversarial-review SKILL.md skill
iflytek/skillhub · builtin-skills/skills/adversarial-review/SKILL.md · 开发完成后的三方对抗式代码评审闭环:蓝军(敌意审查,须给证据链)→ 第三方(独立审计,不信双方文档、只读代码,专找"修改引入的新缺陷"并稽核蓝军漏审的维度)→…
v2.5.1 · audit A · 5,364 stars
adversarial-review SKILL.md skill
basicmachines-co/basic-memory · .agents/skills/adversarial-review/SKILL.md · Cross-vendor adversarial code review of the current branch. Two different model families (Claude + Codex/GPT) review…
git:20260530.4ea03d2 · audit A · 4,440 stars
adversarial-review SKILL.md skill
a5c-ai/babysitter · library/methodologies/metaswarm/skills/adversarial-review/SKILL.md · Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via…
git:20260601.da7723a · audit A · 1,891 stars
adversarial-review SKILL.md skill
syahiidkamil/software-engineer-ai-agent-atlas · .claude/skills/adversarial-review/SKILL.md · Adversarially review something just built — presume it is broken and find where. Use after implementing a feature…
git:20260616.dc49c8f · audit A · 404 stars
adversarial-review SKILL.md skill
timharris707/skills · skills/run/adversarial-review/SKILL.md · Run an adversarial review of a change before it ships: isolated finders trying to break it, a skeptic pass that kills…
git:20261008.0b04f1c · audit A · 43 stars
adversarial-review SKILL.md skill
timharris707/skills · plugins/clickai-codex/skills/run/adversarial-review/SKILL.md · Before committing substantial work, at worker completion, before external review, or on an explicit…
git:20261008.0b04f1c · audit A · 43 stars
adversarial-review SKILL.md skill
event4u-app/agent-config · src/skills/adversarial-review/SKILL.md · Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du…
git:20260906.720eb73 · audit A · 18 stars
adversarial-review SKILL.md skill
robertoecf/adversarial-review · skills/adversarial-review/SKILL.md · Use for requested adversarial review of plans, diffs, configs, prompts or skills, and whenever a project requires that…
v0.9.9 · audit A · 12 stars

Browse by kind, by grade A, or by owner.