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Analyze

Checked
bntvllnt·vlatest·writing·MIT

Analyzes unstructured text data to identify sentiment, key themes, and potential risks or opportunities.

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 bntvllnt/agent-skills --skill analyze -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

bntvllnt

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 bntvllnt/agent-skills at 5f6f937ad7.

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

Scanned
3 files, 865 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 bntvllnt-analyze skill allows an AI agent to process and understand textual data. It can extract key information, identify patterns, and summarize complex documents. This skill is particularly useful for tasks requiring comprehension and synthesis of written content.

When to use it

  • Analyzing customer feedback from surveys or reviews to identify common themes and areas for improvement.
  • Summarizing lengthy research papers or articles to quickly grasp the core findings.
  • Extracting key data points (dates, names, figures) from legal documents or contracts.
  • Understanding complex email chains by identifying action items and deadlines.

Key capabilities

  • Text summarization
  • Information extraction
  • Pattern identification
  • Data synthesis

Example prompts

  • "Summarize this article: [paste article text]"
  • "Extract all dates and names from this document: [paste document text]"
  • "What are the main points of this email thread?"

Tips & gotchas

The quality of analysis depends heavily on the clarity and structure of the input text. Very long or poorly formatted documents may require pre-processing for optimal results.