Convex Security Audit
CheckedHelps with security, auditing as part of implementing security and authentication workflows.
Install on your platform
convex-security-audit. SKILL.md frontmatter is not valid YAML, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-13. We don't show a command we know will fail.
What we know about this skill
Publisher
waynesutton
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 waynesutton/convexskills at 8ef49c9667.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8ef49c9667
- Scanned
- 2 files, 532 lines
About this skill
What it does
The convex-security-audit skill enables AI agents to perform detailed security audits on codebases, identifying vulnerabilities such as insecure dependencies, misconfigurations, and potential injection points. It integrates with common development tools and provides actionable remediation steps for developers.
When to use it
- Before deploying a new application to production
- After integrating third-party libraries or frameworks
- During routine code reviews or security assessments
Key capabilities
- Scans for known vulnerabilities in dependencies
- Detects insecure coding patterns and practices
- Provides clear, actionable remediation guidance
- Integrates with CI/CD pipelines for automated checks
Example prompts
- "Audit this Python application for security issues."
- "Check the project's dependencies for known vulnerabilities."
- "Identify potential SQL injection points in the codebase."
Tips & gotchas
- Ensure that your codebase is accessible to the AI agent for full analysis.
- Some advanced features may require specific tooling or configurations to be set up beforehand.