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Doc Analyzer

Checked
matteocervelli·vlatest·writing·MIT

Analyzes documents for key information like entities & sentiment, streamlining research and data extraction quickly.

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 doc-analyzer --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

    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 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/doc-analyzer/SKILL.md
Scanned
3 files, 1,500 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 doc-analyzer skill allows AI agents to process and extract information from documents. It can analyze text, identify key entities, and summarize document contents. This enables the agent to understand complex documents quickly and efficiently, reducing manual review time.

When to use it

  • Summarizing legal contracts: Quickly grasp the main points of lengthy legal agreements without reading every detail.
  • Analyzing research papers: Extract key findings and methodologies from scientific publications.
  • Processing customer feedback: Identify recurring themes and sentiment in large volumes of customer reviews or survey responses.
  • Extracting data from invoices: Automatically pull relevant information like dates, amounts, and vendor names from invoice documents.

Key capabilities

  • Text analysis
  • Entity identification
  • Document summarization

Example prompts

  • "Summarize this document: [paste document text]"
  • "What are the key entities mentioned in this report? [paste report text]"
  • "Analyze this contract and identify any clauses related to termination. [paste contract text]"

Tips & gotchas

The skill's effectiveness depends on the quality of the input document; poorly formatted or scanned documents may yield less accurate results. Consider pre-processing images with OCR if necessary.