Openclawx code-review

Reads and analyzes source code files or project structures, identifies bugs, and suggests structural architectural or security improvements.

install
source · Clone the upstream repo
git clone https://github.com/next-open-ai/openclawx
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/next-open-ai/openclawx "$T" && mkdir -p ~/.claude/skills && cp -r "$T/presets/workspaces/code-assistant/skills/code-review" ~/.claude/skills/next-open-ai-openclawx-code-review && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/next-open-ai/openclawx "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/presets/workspaces/code-assistant/skills/code-review" ~/.openclaw/skills/next-open-ai-openclawx-code-review && rm -rf "$T"
manifest: presets/workspaces/code-assistant/skills/code-review/SKILL.md
source content

Code Review Skill

Use this skill when the user asks you to review code, understand a project structure, or suggest improvements to existing files.

Guidelines

  1. Understand Context: Before making suggestions, use the
    read
    or
    bash
    tools (e.g.,
    ls -R
    ,
    cat
    ) to understand the surrounding project structure, package dependencies (
    package.json
    ,
    pom.xml
    , etc.), and related files.
  2. Analysis Focus:
    • Bugs/Logic Errors: Identify edge cases, null pointer risks, race conditions, etc.
    • Clean Code: Suggest naming improvements, refactorings to reduce complexity, or adherence to SOLID principles.
    • Performance: Identify O(N^2) loops where O(N) is possible, memory leaks, unoptimized queries, etc.
    • Security: Check for hardcoded credentials, SQL injection vectors, or XSS vulnerabilities.
  3. Actionable Output: Always provide actionable feedback. Instead of just saying "this is bad", provide the corrected code snippet.