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Vibe Security

Listed
nickcrew·vlatest·security·MIT

Analyzes network traffic and user behavior to detect subtle anomalies indicative of insider threats or compromised accounts.

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 nickcrew/claude-cortex --skill vibe-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

nickcrew

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 undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: apache.org, xml.org.

    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

    apache.orgundeclaredxml.orgundeclared

    What it found

    • skills/vibe-security/SKILL.md:579contacts apache.org
      dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true);
    • skills/vibe-security/SKILL.md:580contacts xml.org
      dbf.setFeature("http://xml.org/sax/features/external-general-entities", false);
    • skills/vibe-security/SKILL.md:581contacts xml.org
      dbf.setFeature("http://xml.org/sax/features/external-parameter-entities", false);

  • 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.

  • 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 nickcrew/claude-ctx-plugin at bb47af79ad.

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

Commit
bb47af79ad
Manifest
skills/vibe-security/SKILL.md
Scanned
1 file, 776 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

The nickcrew-vibe-security skill enhances AI agent security by analyzing text for potentially harmful or malicious elements. It identifies and flags suspicious patterns, code snippets, or language constructs that could indicate a security risk. This allows users to proactively mitigate threats and improve the overall safety of their AI interactions.

When to use it

  • Code Generation: Before executing any code generated by an AI agent, use this skill to scan for vulnerabilities or malicious intent.
  • Content Moderation: Analyze user-generated content (e.g., forum posts, chat messages) for security threats like phishing attempts or malware distribution.
  • Prompt Engineering Review: Evaluate prompts given to AI agents to ensure they are not designed to elicit harmful responses or bypass safety protocols.
  • Automated Security Checks: Integrate this skill into automated workflows to continuously monitor and assess the security posture of your AI systems.

Key capabilities

  • Malicious code detection
  • Suspicious pattern identification
  • Harmful language analysis
  • Security risk flagging

Example prompts

  • "Analyze this Python script for potential vulnerabilities: [script content]"
  • "Is this prompt likely to elicit a harmful response from an AI agent? [prompt text]"
  • "Scan this user comment for signs of phishing or malicious intent: [comment text]"

Tips & gotchas

This skill is designed as a preventative measure and should be used in conjunction with other security best practices. The analysis provided by the skill isn't definitive; always exercise caution and human oversight when dealing with potentially sensitive AI interactions.