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Security Requirement Extraction

Checked
wshobson·vlatest·security·MIT

Extracts key security requirements from documents like policies, contracts, and regulations for automated compliance checks.

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 wshobson/agents --skill security-requirement-extraction -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Scanned
2 files, 670 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 security-requirement-extraction skill identifies and extracts specific security requirements from technical documents, policies, or specifications. It can parse text to detect compliance mandates, access control rules, encryption standards, and other security-related constraints.

When to use it

  • Extracting security requirements from a software development lifecycle (SDLC) document for audit purposes
  • Parsing regulatory texts like HIPAA or GDPR to identify applicable security controls
  • Automating the collection of security policies from system architecture diagrams or design specifications

Key capabilities

  • Parses unstructured text for security-related keywords and phrases
  • Identifies compliance mandates such as encryption standards, access control rules, and audit requirements
  • Extracts structured security requirements in a machine-readable format

Example prompts

  • "Extract all security requirements from the attached document."
  • "Identify which GDPR clauses apply to this system design specification."
  • "List out the encryption and access control policies mentioned in this compliance report."

Tips & gotchas

  • Ensure input documents are well-formatted for accurate extraction. Poorly structured text may lead to incomplete or incorrect results.
  • This skill works best with English-language content; performance on non-English texts may vary.