code-review

Review code changes for correctness, regressions, security, test gaps, and operational risk.

IndexedMIT★ 5

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ravisingh11-code-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

Review code changes for correctness, regressions, security, test gaps, and operational risk. Use when reviewing a local diff, pull request, recently merged change, or requested implementation before release.

Use cases: testing, security

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/code-review

What's inside

Skill name: code-review
Description: Review code changes for correctness, regressions, security, test gaps, and operational risk. Use when reviewing a local diff, pull request, recently merged change, or requested implementation before release.
License: MIT
Instructions: 50 lines in SKILL.md · view on GitHub

Files (2)

SKILL.md
openai.yaml · agents/

SKILL.md (first lines)

# Code Review

Use this skill when reviewing a local diff, pull request, recently merged change, or requested implementation before release.

## Focus

- Correctness bugs and behavioral regressions.
- Security, privacy, auth, permission, and data-exposure risks.
- API, schema, serialization, and client compatibility drift.
- Migration and rollback safety.
- Missing or weak tests for changed behavior.
- Operational gaps: logging, deploy safety, smoke tests, and rollback.

## Method

1. Inspect the changed files and surrounding code.
2. Trace user-visible behavior and data flow.
3. Check whether tests cover the risky paths.
4. Prefer concrete file/line findings over broad commentary.
5. Do not suggest cosmetic rewrites unless they hide a real risk.

## Decision Rules

- Findings must be evidence-backed and tied to file or behavior references.
- Do not promote speculative concerns unless the failure mode is concrete.
- Separate real defects from verification gaps.
- Preserve unrelated user changes in dirty worktrees.

## Verification

- Prefer running focused tests for changed code when feasible.
- If tests are unavailable, explain the static evidence and residual risk.
- Record commands not run when they would materially affect confidence.

## Output

Findings first, ordered by severity:

```text
Findings
- severity: file:line - issue and impact

Questions
- assumptions that affect correctness

Verification Gaps
- checks not run or coverage missing
```

From ravisingh11/ai-software-toolkit, MIT.

Signals

Stars: 5
Forks: 10
Open issues: 0
Last commit (this folder): Aug 27, 2026 (2 months ago)
Last release: Oct 23, 2026 (5 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/ravisingh11/ai-software-toolkit
Website: ravisingh11.github.io/ai-software-toolkit/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

More from ravisingh11

Cite this page

code-review skill. Agent Mart. https://agentmart.dev/skills/ravisingh11-code-review (last updated 2026-10-24)