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Terms Analyzer

Checked
guia-matthieu·vlatest·writing·MIT

Analyzes text to identify key terms and their frequency, providing insights for research, content understanding, and data analysis.

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 guia-matthieu/clawfu-skills --skill terms-analyzer -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

guia-matthieu

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 guia-matthieu/clawfu-skills at 4108f5c010.

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

Commit
4108f5c010
Manifest
skills/legal/terms-analyzer/SKILL.md
Scanned
1 file, 421 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 terms-analyzer skill analyzes text and extracts key terms. It can identify important concepts within a document or conversation, providing summaries or facilitating further processing of textual data. This allows users to quickly understand the core topics being discussed without needing to read through lengthy content.

When to use it

  • Summarizing Legal Documents: Quickly extract the critical clauses and obligations from contracts or legal briefs.
  • Analyzing Customer Feedback: Identify frequently mentioned issues or positive aspects in customer reviews or survey responses.
  • Topic Extraction for Research: Automatically identify key themes within a collection of research papers or articles.
  • Content Tagging: Generate relevant tags for blog posts, articles, or other content based on the terms identified.

Key capabilities

  • Term extraction from text
  • Identification of important concepts
  • Summarization through term highlighting

Example prompts

  • "Analyze this document and extract the key terms: [paste document text]"
  • "What are the main topics discussed in this email thread?"
  • "Identify the most frequently mentioned issues in these customer reviews."

Tips & gotchas

The accuracy of term extraction depends heavily on the quality and clarity of the input text. Complex or highly technical language may require additional refinement or context for optimal results.