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Skills Security Check

Listed
toolsai·vlatest·security

Scans code, configurations, and dependencies for known vulnerabilities and insecure practices.

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add toolsai/skills-security-check --skill skills-security-check -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

toolsai

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 failed 1 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 credential access: failed

    Touches credential material in 4 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 (3 of 4)

    • scripts/scan_skills.py:45GnuPG private keyring
      ("以太坊/比特幣路徑", re.compile(r"(\.ethereum|\.bitcoin|\.gnupg)", re.IGNORECASE), "crypto_path"),
    • scripts/scan_skills.py:48SSH private keys or config
      ("SSH 金鑰/設定存取", re.compile(r"(~/.ssh|\\.ssh|id_rsa|id_ed25519|authorized_keys|known_hosts)", re.IGNORECASE), "ssh_access"),
    • scripts/scan_skills.py:49AWS credentials file
      ("AWS/Cloud 設定檔", re.compile(r"(\.aws/credentials|\.aws/config|\.config/gcloud|\.azure/)", re.IGNORECASE), "cloud_credentials"),
  • 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 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 toolsai/skills-security-check at 35238a9b25.

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

Manifest
SKILL.md
Scanned
4 files, 880 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 enables AI agents to discover and install security-focused capabilities from the TrustedSkills registry. It streamlines the process of equipping agents with necessary protective measures before they interact with external systems or sensitive data.

When to use it

  • Before deploying an agent to access public APIs or untrusted networks.
  • When configuring an agent to handle user authentication tokens or personal information.
  • During the initial setup phase to ensure the agent adheres to organizational security policies.
  • To dynamically update an agent's defensive toolkit when new vulnerabilities are identified.

Key capabilities

  • Discovery of available security skills within the registry.
  • Installation of specific security modules for AI agents.
  • Integration of protective logic directly into the agent's workflow.

Example prompts

  • "Install the latest vulnerability scanning skill from the TrustedSkills registry."
  • "Discover all available authentication bypass protection skills and install the most recent one."
  • "Add a data sanitization module to my current agent configuration using the security check tool."

Tips & gotchas

Ensure your agent has write permissions to its own configuration space before attempting to install new skills. Always verify the source of the installed skill to prevent introducing untrusted code into your deployment environment.