An automated code analysis and repair tool designed to identify bugs, security vulnerabilities, and performance bottlenecks with optional in-place fixing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-review-fix-hardened
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install code-review-fix-hardened using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Code Review & Fix (Hardened)?
Code Review & Fix is a sophisticated utility within the Openclaw Skills ecosystem designed to streamline the software development lifecycle. It provides developers with an intelligent second pair of eyes that not only identifies logic errors and security gaps but also offers direct, in-place code repairs to maintain high velocity without sacrificing quality.
This skill is built with a security-first mindset, incorporating hardened guardrails to ensure that proprietary code and sensitive secrets never leave the local environment. Whether you are performing a routine check or deep-diving into performance optimization, this Openclaw Skills integration acts as a proactive defense against technical debt and security regressions.
Code Review & Fix (Hardened) Use Cases
- Identifying hidden logic bugs and performance bottlenecks in existing source code.
- Performing automated security audits to detect exposed API keys, tokens, or vulnerabilities.
- Enforcing consistent coding styles across a shared repository.
- Accelerating the onboarding process for junior developers through the educational explain mode.
- Rapidly applying fixes to identified issues using the automated repair flag.
How Code Review & Fix (Hardened) Works
- The developer triggers the review process using a specific CLI command directed at a target file or directory.
- The Openclaw Skills engine parses the code to detect patterns related to bugs, security vulnerabilities, and style violations.
- The skill generates a comprehensive report locally, categorizing findings by severity and type.
- If the fix flag is enabled, the agent proposes specific code modifications based on best practices.
- Upon receiving explicit user approval, the agent performs in-place modifications to the source files while maintaining local data boundaries.
Code Review & Fix (Hardened) Setup
To get started with this skill, ensure your local environment is configured for Openclaw Skills and use the following commands:
# Review the current file for issues
/code-review
# Review and automatically apply suggested fixes
/code-review --fix
# Run a specialized security-only audit
/code-review --security
# Enable explanation mode for educational insights
/code-review --explain
Code Review & Fix (Hardened) Data Schema & Taxonomy
The skill manages data through a local-first approach to ensure privacy and security. The following table describes the data handling taxonomy:
| Data Type | Handling Method | Storage Location |
|---|---|---|
| Source Code | Read-only access for analysis | Local Filesystem |
| Review Findings | Terminal output or local file | Local Workspace |
| Secrets/Tokens | Detection and reporting only | Never echoed or logged |
| Fix Proposals | Temporary diff generation | Memory/Local Buffer |
Code Review & Fix (Hardened) Advanced Features
- Hardened security guardrails powered by Faberlens to prevent prompt injection and unauthorized file modifications.
- Educational mode that provides context and reasoning behind every suggested code change.
- Strict local data boundary enforcement preventing the transmission of proprietary code to external APIs or webhooks.
- Multi-language support covering a wide array of modern programming frameworks and languages.
- Pay-per-use pricing model (0.001 USDT per call) with initial free credits for easy testing.
SKILL.md
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