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Analysis

Checked
matteocervelli·vlatest·other·MIT

Analyzes text data to identify key themes, sentiment, and relationships, providing concise summaries and insights.

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 matteocervelli/llms --skill analysis --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

matteocervelli

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

    Only contacts known or declared hosts: pypi.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

    pypi.orgpackage registry

  • 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 matteocervelli/llms at 1e1f2089eb.

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

Commit
1e1f2089eb
Manifest
.archive/claude-v1/skills/analysis/SKILL.md
Scanned
8 files, 2,327 lines
Copies in repo
2 — 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 analysis skill allows an AI agent to process and understand textual data. It can extract key information, identify patterns, and summarize complex documents. This capability enables the agent to perform tasks requiring comprehension and interpretation of written material.

When to use it

  • Summarizing long articles: Condense lengthy news reports or research papers into concise summaries.
  • Extracting data from emails: Identify key dates, action items, or contact information within email threads.
  • Analyzing customer feedback: Determine common themes and sentiment expressed in customer reviews or survey responses.
  • Understanding legal documents: Quickly grasp the main points and obligations outlined in contracts or agreements.

Key capabilities

  • Text summarization
  • Information extraction
  • Pattern identification
  • Sentiment analysis (implied)

Example prompts

  • "Analyze this article about climate change and summarize its key findings."
  • "Extract all the dates mentioned in this email chain."
  • "What are the main themes discussed in these customer reviews?"

Tips & gotchas

The quality of the 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.