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V3 Security Overhaul

Checked
proffesor-for-testing·vlatest·security·MIT

Helps with testing, security as part of implementing security and authentication workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it V3 Security Overhaul, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add proffesor-for-testing/agentic-qe --skill "V3 Security Overhaul" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

proffesor-for-testing

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 proffesor-for-testing/agentic-qe at 124d8c735e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
124d8c735e
Manifest
.claude/skills/v3-security-overhaul/SKILL.md
Scanned
1 file, 68 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, "V3 Security Overhaul," provides a comprehensive security assessment and remediation framework for AI agents. It focuses on identifying vulnerabilities in agent configurations, code, and dependencies, then offers actionable steps to improve overall system resilience against common attack vectors. The tool aims to enhance the safety and reliability of deployed AI agents by proactively addressing potential risks.

When to use it

  • Pre-Deployment Security Audits: Before releasing an AI agent into a production environment, run this skill to identify and mitigate vulnerabilities.
  • Post-Incident Analysis: After a security incident or suspected breach involving an AI agent, utilize the skill to determine root causes and prevent recurrence.
  • Dependency Updates: When updating libraries or frameworks used by your AI agents, leverage this skill to ensure no new security risks are introduced.
  • Regular Security Reviews: Integrate periodic security assessments using this skill into your development lifecycle for continuous improvement.

Key capabilities

  • Vulnerability scanning
  • Configuration review
  • Dependency analysis
  • Remediation guidance

Example prompts

  • "Assess the security of my agent's configuration files."
  • "Analyze the dependencies used by this AI agent and identify potential vulnerabilities."
  • "Provide recommendations for improving the overall security posture of my deployed agent."

Tips & gotchas

The skill requires access to the agent’s codebase, configuration files, and dependency lists. Ensure appropriate permissions are granted before running the assessment.