Py Security
CheckedAnalyzes Python code for common vulnerabilities like injection flaws and insecure dependencies using 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 l-mb/python-refactoring-skills --skill py-security -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
l-mb
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 l-mb/python-refactoring-skills at b08357109f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b08357109f
- Manifest
- skills/py-security/SKILL.md
- Scanned
- 1 file, 212 lines
About this skill
What it does
This skill analyzes Python code to identify potential security vulnerabilities. It helps users understand and mitigate risks related to common coding errors that could lead to exploits. The tool provides actionable insights, allowing developers to improve the overall security posture of their applications.
When to use it
- Code Review: Integrate into your development workflow for automated security checks during code reviews.
- Vulnerability Assessment: Quickly assess existing Python projects for potential weaknesses before deployment.
- Security Training: Use as a learning tool to understand common Python security pitfalls and best practices.
- Penetration Testing Support: Assist penetration testers in identifying vulnerabilities within Python applications.
Key capabilities
- Automated vulnerability scanning
- Identification of common coding errors
- Actionable remediation suggestions
Example prompts
- "Analyze this Python code for security vulnerabilities: [code snippet]"
- "What are the potential security risks in this function? [function definition]"
- "Can you identify any injection flaws in this script? [script content]"
Tips & gotchas
The skill's effectiveness depends on the quality and completeness of the provided Python code. It is not a substitute for comprehensive security audits or penetration testing performed by qualified professionals.