kevinchamplin/claude-skills

review

Quick security and quality review of current changes before deploying. Use when the user says /review or wants a pre-deploy check. Scans diffs for security issues, credential leaks, and code quality problems.

First seen Jun 10, 2026

Installation

$ npx skills add kevinchamplin/claude-skills --skill review

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Also in this package

Other skills from kevinchamplin/claude-skills.

npx skills add kevinchamplin/claude-skills

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 3
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,370 B
  • docs SUMMARY.md 222 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 35 installs

SKILL.md

Review — Pre-Deploy Security & Quality Check

Review all pending changes for security vulnerabilities, credential leaks, and quality issues.

Steps

  1. Gather changes:

- git diff (unstaged) and git diff --staged (staged) - If no local changes, diff against the base branch: git diff main...HEAD (or master)

  1. Security scan — check the diff for:

- Credential leaks: API keys, passwords, tokens, secrets, .env values hardcoded in source - SQL injection: raw user input in queries without parameterization - XSS: unescaped user input rendered in HTML/JSX - Command injection: user input passed to shell commands - IDOR: missing authorization checks on endpoints that access resources by ID - Debug code: var_dump, console.log with sensitive data, dd(), leftover die() calls - .env changes: flag if .env was modified — it should almost never be committed - API key exposure: LLM API keys (OpenAI, Anthropic), payment keys (Stripe), auth secrets hardcoded in client-side code - Prompt injection: user input concatenated directly into LLM prompts without sanitization - SSRF: user-controlled URLs passed to server-side fetch/curl without validation

  1. Quality scan — check for:

- Incomplete implementations (TODO/FIXME/HACK comments in new code) - Error handling gaps (empty catch blocks, swallowed exceptions) - Obvious logic errors - Files that look accidentally included (.DSStore, nodemodules, compiled assets)

  1. Report:

- If issues found: list each with file, line, and severity (CRITICAL / WARNING / INFO) - If clean: confirm with a one-line "all clear" - Keep the report concise — no filler

Rules

  • NEVER modify code during review — only report findings
  • Focus on the diff, not the entire codebase
  • CRITICAL issues = must fix before deploy (credentials, injection, auth bypass)
  • WARNING = should fix (debug code, missing error handling)
  • INFO = nice to fix (style, minor improvements)
  • Delegate to an Explore agent if the diff is very large (50+ files)