Receiving Code Review
Analyzes code reviews from SRBHR, identifying potential bugs, style issues, and areas for improvement based on established guidelines.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add srbhr-receiving-code-review npx -- -y @trustedskills/srbhr-receiving-code-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"srbhr-receiving-code-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/srbhr-receiving-code-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The receiving-code-review skill enables AI agents to accept and process code reviews from human developers or other automated systems, facilitating collaborative development workflows. It allows agents to parse review feedback, update their codebase accordingly, and respond with status confirmations without requiring manual intervention.
When to use it
- An agent has just pushed a new feature branch and needs to automatically pull in peer feedback before merging.
- A continuous integration pipeline triggers a code review task that the agent must acknowledge and act upon.
- You are building a pair-programming bot that listens for real-time suggestions from senior developers.
- The agent needs to update its documentation or implementation based on specific constraints noted in a pull request comment.
Key capabilities
- Accepts structured feedback regarding code quality, security vulnerabilities, or logic errors.
- Parses comments and suggestions directly from review platforms or chat interfaces.
- Updates the local codebase state to reflect accepted changes or requested modifications.
- Generates acknowledgment messages confirming receipt of specific review points.
Example prompts
"Please receive the latest code review for my authentication module and apply the suggested security fixes."
"I have a new pull request ready; can you set up receiving-code-review to listen for feedback from the team?"
"Analyze the attached review comments on my data pipeline script and update the implementation based on the performance warnings."
Tips & gotchas
Ensure the AI agent has read permissions on the code repository or chat channel where reviews are posted, otherwise it cannot access the feedback. This skill is most effective when combined with a separate submitting-code-review skill to create a complete review loop.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.