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Security

Checked
fractionestate·vlatest·security

Proactively identifies and mitigates fractional real estate investment risks through automated due diligence and fraud detection.

Repository

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 dajo-code/midnight-dev-skills --skill security -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

fractionestate

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 fractionestate/midnight-dev-skills at 9cad80c46e.

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

Commit
9cad80c46e
Manifest
.github/skills/security/SKILL.md
Scanned
3 files, 381 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 provides a suite of tools and processes to enhance the security posture of AI agents. It focuses on identifying potential vulnerabilities, implementing secure coding practices, and ensuring ongoing monitoring for threats. The skill aims to protect agent data, prevent unauthorized access, and maintain overall system integrity.

When to use it

  • Developing new AI agents: Integrate this skill early in development to build security into the foundation of your agent.
  • Auditing existing AI agents: Use it to assess current vulnerabilities and recommend remediation steps.
  • Responding to a security incident: Employ the skill's diagnostic tools to investigate and contain breaches.
  • Ensuring compliance with regulations: Leverage its features to meet industry-specific security requirements.

Key capabilities

  • Vulnerability scanning
  • Secure coding practices implementation
  • Threat monitoring
  • Incident response support

Example prompts

  • "Run a vulnerability scan on my agent's codebase."
  • "What are the most common secure coding errors I should be aware of?"
  • "Simulate a phishing attack to test my agent’s defenses."
  • “Analyze recent logs for suspicious activity.”

Tips & gotchas

This skill requires a baseline understanding of AI agent architecture and security principles. The effectiveness of the vulnerability scanning depends on access to the agent's codebase and configuration files.