Code Security Audit
ListedHelps with security, auditing as part of implementing security and authentication 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 leonmelamud/claude-code-security-review --skill code-security-audit -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
leonmelamud
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 2 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: get.tessl.io.
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
get.tessl.ioundeclaredgithub.comsource hostapi.github.comsource hostWhat it found
- AGENTS.md:9contacts get.tessl.io
curl -fssl https://get.tessl.io | sh
No pipe-to-shell installers: failed
Runs code fetched at install time in 1 place.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- AGENTS.md:9remote script piped into a shell
curl -fssl https://get.tessl.io | sh
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.
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.
Pinned to a commit: passed
Scanned leonmelamud/claude-code-security-review at 734144700f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 734144700f
- Manifest
- SKILL.md
- Scanned
- 37 files, 3,985 lines
About this skill
What it does
This skill performs a code security audit, identifying potential vulnerabilities and recommending remediation steps. It analyzes provided code snippets for common security flaws like injection vulnerabilities, insecure deserialization, and cross-site scripting (XSS). The output includes detailed explanations of the identified issues and suggestions for secure coding practices.
When to use it
- Before deployment: Run an audit on new or modified code before pushing it to production environments.
- Security reviews: Integrate into existing security review processes to automate initial vulnerability checks.
- Learning & training: Use the skill to understand common vulnerabilities and how to fix them, improving overall coding practices.
- Identifying legacy issues: Analyze older codebases to proactively identify and address potential security risks.
Key capabilities
- Vulnerability identification (injection, XSS, insecure deserialization)
- Detailed explanations of identified flaws
- Remediation recommendations
- Secure coding practice suggestions
Example prompts
- "Audit this Python script for SQL injection vulnerabilities: [code snippet]"
- "Can you perform a security review on this JavaScript code and identify potential XSS risks? [code snippet]"
- "Analyze the following Java method for insecure deserialization issues: [code snippet]"
Tips & gotchas
The skill's effectiveness depends heavily on the quality of the provided code. Ensure the code is complete and representative of the functionality being audited to get accurate results.