SathiaAI/adversarial-review

Multi-model adversarial code review with a deterministic, machine-computed release verdict. Portable agent skill for Claude Code, OpenAI Codex, and any SKILL.md-compatible platform.

This repository also configures its own agents. See what adversarial-review tells them →

3Stars on the repository
6Mods indexed here, across every type
15d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

adversarial-review

01

SathiaAI/adversarial-review

Skill Codex

Independent adversarial review and deterministic release gating for code changes, using a multi-model reviewer panel over OpenRouter (or any OpenAI-compatible router, or an MCP transport like Composio). Use whenever the user asks for an adversarial review, red-team review, multi-model review, independent review…

not rated 3 changed 1mo ago A 125 tokens original MIT

SathiaAI/adversarial-review

Skill Claude CodeCodex

Verify what the code actually does against what the docs, roadmap, or handoff claim it does — the code is the source of truth. Use before relying on any documented behavior or status.

not rated 3 15d ago A 45 tokens original MIT

pr-text-check

03

SathiaAI/adversarial-review

Skill Claude CodeCodex

Make the PR description, commit messages, and CHANGELOG match what actually changed — no drift, honest status, docs in the same change. Use before opening or updating a PR.

not rated 3 15d ago A 40 tokens original MIT

shipping-artifacts

04

SathiaAI/adversarial-review

Skill Claude CodeCodex

Every claim ships with the artifact that proves it — test output, a run dir, an attestation, a review verdict. Use when finishing a change or asserting that something works.

not rated 3 15d ago A 40 tokens original MIT

SathiaAI/adversarial-review

Skill Claude CodeCodex

Write the spec before the code, make the spec the contract, and loop until the implementation is verified against it. Use before starting any non-trivial change in this repo.

not rated 3 15d ago A 39 tokens original MIT

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