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V3 Security Overhaul

Checked
ruvnet·vlatest·security·MIT

Automates vulnerability scanning, patch deployment, and configuration hardening to significantly improve system security posture.

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 ruvnet/ruflo --skill "V3 Security Overhaul" --full-depth -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

ruvnet

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 ruvnet/claude-flow at 49da6ecc44.

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

Commit
49da6ecc44
Manifest
.agents/skills/v3-security-overhaul/SKILL.md
Scanned
3 files, 204 lines
Copies in repo
3 — all of them scanned
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 V3 Security Overhaul skill provides a comprehensive security framework specifically designed for AI agents running within the ruvnet/claude-flow environment. It implements strict safety protocols to mitigate risks associated with unfiltered model outputs and unauthorized system access.

When to use it

  • Deploying AI agents that require interaction with sensitive internal data or APIs.
  • Operating in production environments where compliance and data privacy are mandatory.
  • Running models within the ruvnet/claude-flow architecture to ensure native compatibility.
  • Mitigating potential injection attacks or prompt exploitation vectors.

Key capabilities

  • Native integration with the ruvnet/claude-flow runtime environment.
  • Implementation of advanced security protocols for agent behavior.
  • Protection against unauthorized access and data leakage.
  • Structured safety constraints to prevent harmful output generation.

Example prompts

  • "Activate the V3 Security Overhaul before initiating a batch processing job on sensitive customer records."
  • "Configure the AI agent with the security overhaul to safely query internal database schemas without exposing credentials."
  • "Run a diagnostic check using the security framework to identify potential vulnerabilities in the current claude-flow setup."

Tips & gotchas

This skill is tightly coupled with the ruvnet/claude-flow ecosystem; it may not function correctly or at all in alternative runtime environments. Ensure your agent configuration explicitly references the ruvnet/claude-flow context to enable these security features effectively.