ai-code-review-opsコードレビューを実施する際に使用。プルリクエストのレビュー、コード品質チェック、 セキュリティ検査、パフォーマンス分析を行う。「レビューして」「コードをチェック」 「品質を確認」などの指示で起動。
Install via ClawdBot CLI:
clawdbot install terrycarter1985/ai-code-review-opsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.API_KEYCalls external URL not in known-safe list
https://github.com/.../123AI Analysis
The skill references `process.env.API_KEY` in its credential access signal, but this is a standard pattern for reading environment variables, not exfiltration. The external URL `https://github.com/.../123` is a legitimate GitHub PR reference used for CI/CD checks, consistent with the skill's stated purpose of code review. No hidden instructions, obfuscation, or data exfiltration patterns are present.
Audited May 10, 2026 · audit v1.0
Generated Aug 6, 2026
An internal development team integrates the AI Code Review skill into their CI/CD pipeline to automatically review every pull request. The bot fetches the PR diff, runs security and quality checks, and posts detailed feedback directly on the PR, reducing manual review time.
A fintech company uses the skill to conduct periodic audits of their entire codebase, focusing on security vulnerabilities and performance issues. The AI systematically scans for OWASP top 10 risks and performance bottlenecks, ensuring compliance with industry standards.
A healthcare software vendor uses the skill to review code before release, specifically checking for HIPAA compliance, secure handling of patient data, and proper authentication flows. The AI identifies any hardcoded secrets or data leaks, providing recommendations to strengthen security.
A company planning to refactor a large legacy codebase uses the skill to evaluate maintainability and identify technical debt. The AI pinpoints poorly structured modules, duplicate code, and missing tests, guiding the team in prioritizing refactoring efforts.
Offer AI code review as a subscription service to development teams, with different tiers based on the number of repositories, users, and depth of analysis. Recurring revenue from monthly or annual subscriptions.
Provide the code review engine as an API that developers can call programmatically, charging based on the number of lines of code reviewed or per review request. This model suits small teams or occasional use cases.
Alongside the AI review tool, offer professional services to integrate the skill into existing CI/CD pipelines, customize rules, and train development teams. Revenue comes from one-time setup fees and ongoing support contracts.
💬 Integration Tip
Ensure the team has GitHub CLI (gh) installed and authenticated, and customize the review guidelines in CLAUDE.md to align with project-specific standards.
Scored Jun 3, 2026
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