Enforce output quality, evidence verification, and quality gates across security audits. Use this skill when you perform SAST, SCA, threat modeling, or security code reviews. Use this skill to verify code locations and taint traces for all findings. Use this skill to prevent the suppression of valid security findings. Use this skill to evaluate reports against quality thresholds (score ≥ 8/10) before delivery.
インストール方法を見る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。
Enforce output quality, intellectual honesty, and continuous improvement across security audits and code reviews.
This skill provides 7 modular capabilities in the references/ directory. Load each file when you reach its execution phase:
| Component | Reference File | Purpose |
|---|---|---|
| Clarification Protocol | references/clarification-protocol.md | Ask a maximum of 2 targeted questions when scope is not clear |
| Anti-Rationalization Guard | references/anti-rationalization-guard.md | Prohibited rationalizations and mandatory responses for findings |
| Self-Critique Loop | references/self-critique-loop.md | Mandatory second pass to verify evidence and coverage |
| Retry Protocol | references/retry-protocol.md | Tool failure and empty search handling: retry once, then document |
| Non-Negotiable Behaviors | references/non-negotiable-behaviors.md | Mandatory rules: do not fabricate, cite evidence, report gaps |
| Self-Reflection Quality Gate | references/self-reflection-quality-gate.md | Scoring rubric (1–10 scale) with a minimum threshold of 8 |
| Self-Learning System | references/self-learning-system.md | Templates and rules for lessons and security memories |
Load reference files as you reach each phase:
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
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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。
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
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。
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
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。
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
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 this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.
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。
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
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。