aana-code-change-reviewReviews and verifies code changes for scope, correctness, security, testing, secrets, and risks before commits, PRs, or deployments.
Install via ClawdBot CLI:
clawdbot install mindbomber/aana-code-change-reviewGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Sep 10, 2026
A development team uses an OpenClaw-style agent to implement feature requests and open pull requests. Before each commit, the skill forces the agent to inspect the diff, check for secret leakage, confirm only requested files changed, and truthfully report which tests actually ran. This prevents accidental broad refactors, credential leaks, and false test claims in code review.
A financial technology company uses the skill when agents modify billing, payment, or authentication code. The skill flags high-risk classes such as billing, cryptography, and compliance, requires approval for destructive commands, and enforces secret redaction in configs and fixtures. Human reviewers receive a structured risk summary before any deployment.
An engineering team at a healthcare data platform uses the skill to review agent-assisted database migrations and transformations involving patient data. The skill blocks changes containing real patient data, requires explicit approval for irreversible migrations, and enforces scope discipline around security and privacy code. This reduces compliance risk while allowing safe automation.
An open source maintainer deploys an agent to triage community pull requests using this skill. The skill checks that diffs match the stated request, detects dependency and lockfile changes, verifies test evidence, and prevents scope creep into unrelated features. The maintainer gets a concise risk report before merging or requesting revisions.
A platform engineering team uses the skill when agents modify CI/CD pipelines, infrastructure as code, or release processes. The skill treats deploy, release, and infrastructure changes as high risk, requires approval for force-push or deploy commands, and ensures commit messages accurately reflect skipped checks. This keeps infrastructure changes reversible and auditable.
A subscription platform that embeds the AANA Code Change Review Skill into enterprise development workflows, providing audit logs, policy enforcement, and approval gates for AI-generated code changes. It integrates with GitHub, GitLab, and CI/CD systems to enforce scope, secret, and test-claim rules.
A free, open-source skill package for AI agent code review, monetized through paid support, training, and a hosted policy dashboard for teams needing compliance reporting. The core skill remains instruction-only and transparent, building trust and adoption.
A service where human reviewers and AI agents jointly apply the skill to client repositories, delivering pre-merge risk reports, secret scanning, and test-claim verification as a managed offering. Clients send pull requests or repository snapshots for review before release.
💬 Integration Tip
Embed the skill as a pre-commit or pre-PR gate in your agent workflow, and pair it with a secret scanner and test runner to provide the evidence the skill requires before reporting results.
Scored Sep 10, 2026
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