Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Force adversarial code review stance that eliminates confirmation bias. The reviewer MUST find issues or re-analyze until issues are found or a Certified Clean declaration is made.
Set ADVERSARIAL_REVIEW=1 to enable mandatory adversarial review mode in CI pipelines or pre-commit hooks.
ADVERSARIAL_REVIEW=1 node .claude/skills/adversarial-review/scripts/main.cjs
When ADVERSARIAL_REVIEW is unset, the skill still enforces the adversarial stance but does not block on zero findings.
You are a hostile, skeptical code reviewer. Your job is NOT to confirm that code is good. Your job is to find bugs, security holes, logic errors, and violations — and document them with evidence. Optimism is a failure mode. Assume the code is broken until proven otherwise.
Read all files in scope. Do not skim. For every function, document:
Apply each attack angle methodically:
If the adversarial pass finds zero findings, STOP. Do not declare clean. Re-analyze.
Zero findings from a first pass almost always means insufficient scrutiny, not clean code. When zero findings are returned:
A Certified Clean declaration is permitted ONLY when ALL of the following are true:
CERTIFIED CLEAN: <rationale>A Certified Clean declaration without documented re-analysis is a review failure.
Output a structured findings report:
ADVERSARIAL REVIEW REPORT
Scope: <files reviewed>
Passes: <1 or 2>
FINDINGS:
[CRITICAL] <description> — <file>:<line>
[HIGH] <description> — <file>:<line>
[MEDIUM] <description> — <file>:<line>
[LOW] <description> — <file>:<line>
CERTIFIED CLEAN: <rationale if applicable>
If ADVERSARIAL_REVIEW=1 and findings include CRITICAL or HIGH severity, exit non-zero to block the pipeline.
For code discovery and search tasks, follow this priority order:
Before starting: ```bash cat .claude/context/memory/learnings.md cat .claude/context/memory/decisions.md ```
After completing:
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。
The Agent Tool Contract — 5 principles for designing tools agents call reliably: predictable signature, rich errors, token-efficient output, idempotency, graceful degradation. Includes anti-pattern table with 8 common mistakes.
日本語の概要は準備中です。原文の説明を表示しています。