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Code Analyzer

Checked
synapsync·vlatest·security

The Code Analyzer identifies potential bugs, vulnerabilities, and inefficiencies in your code, boosting development speed and reliability.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add synapsync/skills-registry --skill code-analyzer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

synapsync

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 synapsync/synapse_registry at fcfdf3b4ba.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
fcfdf3b4ba
Manifest
cognitives/skills/analytics/code-analyzer/SKILL.md
Scanned
6 files, 1,072 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Synapsync Code Analyzer skill provides automated analysis of source code. It can identify potential bugs, security vulnerabilities, and stylistic issues within a codebase. This capability helps developers improve code quality and reduce technical debt by providing actionable insights directly to the AI agent.

When to use it

  • Code Review: Integrate into an automated code review process to flag potential problems before merging changes.
  • Security Audits: Quickly scan code for common security vulnerabilities like SQL injection or cross-site scripting (XSS).
  • Refactoring Assistance: Identify areas of complex or poorly written code that could benefit from refactoring.
  • Learning New Codebases: Understand the structure and potential issues in unfamiliar projects more efficiently.

Key capabilities

  • Bug detection
  • Security vulnerability identification
  • Stylistic issue analysis
  • Codebase scanning

Example prompts

  • "Analyze this Python code for security vulnerabilities: [code snippet]"
  • "Review this JavaScript file and suggest improvements to its style."
  • "Can you identify any potential bugs in this C++ function?"

Tips & gotchas

The accuracy of the analysis depends on the complexity of the codebase and the skill's training data. For best results, provide well-formatted code snippets with clear context.