Static Code Analysis
CheckedIdentifies potential bugs, vulnerabilities, and style issues in backend code through automated static analysis.
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 aj-geddes/useful-ai-prompts --skill static-code-analysis -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
aj-geddes
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 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
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 8 files, 550 lines
About this skill
What it does
This skill enables AI agents to automatically scan source code for bugs, security vulnerabilities, and style inconsistencies. It provides immediate feedback on code quality without requiring human review of every line.
When to use it
- Before merging pull requests to catch errors early in the development cycle.
- During continuous integration pipelines to enforce coding standards automatically.
- When auditing legacy codebases for potential security risks or performance bottlenecks.
- To validate that generated code meets specific project guidelines and best practices.
Key capabilities
- Identifies syntax errors and logical bugs within source files.
- Detects common security vulnerabilities such as SQL injection or XSS flaws.
- Enforces consistent coding style and formatting rules across the team.
- Analyzes dependencies for known outdated or insecure packages.
Example prompts
- "Run a static analysis on my Python backend module to find any unused variables."
- "Scan this JavaScript file for security vulnerabilities before I deploy it."
- "Check if my code follows the project's PEP 8 style guidelines and list violations."
Tips & gotchas
Ensure your codebase has compatible linter configurations installed, as some tools may miss issues without them. Static analysis cannot detect runtime errors that only appear during execution, so always pair it with testing.