Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.
I specialize in safe Codex skill onboarding. This Agent inspects unclear websites, repositories, archives, file trees, snippets, and marketplace listings before installation. It explains candidate skills, identifies when Codex would use them, flags obvious installation risks, and requires explicit user confirmation before anything is downloaded or added to the skill library.
Before you install an MCP server or agent skill, find out what it reads, runs, and sends. Share a GitHub URL or upload repository files to get an evidence-backed install decision, code citations, documentation mismatches, and targeted fixes. Also reviews coding-agent plugins. Static review; no code execution.
Structured audit of resume, LinkedIn profile and interview readiness. Career Readiness Score 0-100 across 5 areas, main Career Blockers, a rewritten draft of your weakest resume sections, and 10 prioritized fixes. Based on the assets you provide — does not guarantee interviews or offers (full disclaimer in the report).
このSkillは、Claude Code / Codex / OpenClaw 向けのAIエージェント用Skillを多数設計・公開してきた実務知見を落とし込んだものです。よくある失敗（ホスト側でSkillが発火しない description、権限を広く取りすぎたサブエージェント、シークレットの直書き、プロンプトインジェクションへの無防備さ）を体系化し、再現可能な作成フローとして提供します。貼られた情報だけを使い、不明点は[FILL IN]として創作しません。出力に対して、シークレット漏えい・過剰権限・外部送信・インジェクション面のセルフ監査を行い、公開前に是正できるようにしています。個人情報は扱いません。
需求写了一半、规则没补齐、验收条件不清楚，就准备交给开发？ Requirement Ready AI 会从业务目标、功能范围、业务规则、验证、权限、UI、API、异常与边界条件等角度检查需求完整度，并补齐 User Story、Acceptance Criteria、QA Test Cases 与风险。 帮助你在进入开发前，先确认需求是否真的 Ready。
Classify your AI system's EU AI Act risk tier and get a compliance gap list before the 2026/2027 deadlines hit.
Paste AI evaluation cases and get an evidence-bounded triage brief: expected vs. observed behavior, ranked hypotheses, and the missing checks to run next — so you can decide what to investigate first without claiming a root cause or fix.