Analyze Codebase For Mcp
ListedHelps with analysis, MCP tools as part of orchestrating AI agents and multi-step workflows workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add pjt222/agent-almanac --skill analyze-codebase-for-mcp -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
pjt222
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned pjt222/development-guides at bcca822c1c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bcca822c1c
- Scanned
- 0 files
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill analyzes a codebase to identify potential areas for improvement regarding Maintainable Code Practices (MCP). It assesses code complexity, identifies opportunities for refactoring, and suggests improvements based on established MCP principles. The goal is to provide actionable insights that developers can use to enhance the quality and maintainability of their software projects.
When to use it
- Code Review Assistance: Use this skill to automatically flag potential MCP violations during code reviews, saving time and ensuring consistency.
- Refactoring Planning: Identify areas within a large codebase ripe for refactoring based on complexity metrics and MCP recommendations.
- Onboarding New Developers: Quickly assess the adherence to MCP in existing codebases to facilitate faster onboarding and knowledge transfer.
- Technical Debt Reduction: Prioritize technical debt reduction efforts by identifying the most impactful areas for improvement according to MCP standards.
Key capabilities
- Code complexity analysis
- Identification of MCP violations
- Refactoring suggestions
- Actionable insights for developers
Example prompts
- "Analyze this codebase [codebase URL] and identify potential MCP issues."
- "Can you suggest refactorings to reduce the cyclomatic complexity in this file? [file content]"
- "What are the most significant areas of technical debt related to maintainability in this project?"
Tips & gotchas
The accuracy of the analysis depends on the quality and clarity of the codebase. The skill may require access to the entire codebase or specific files for optimal results.