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Extract

Checked
tavily-ai·vlatest·writing·MIT

Extracts key data points like names, dates, and values from unstructured text documents quickly and accurately.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it tavily-extract, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add tavily-ai/skills --skill tavily-extract -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

tavily-ai

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 tavily-ai/skills at 778122e5f9.

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

Commit
778122e5f9
Manifest
skills/tavily-extract/SKILL.md
Scanned
1 file, 83 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 extract skill enables AI agents to pull specific pieces of information from unstructured text, such as key details, entities, or patterns. It is particularly useful for parsing through large volumes of data and isolating relevant content efficiently.

When to use it

  • Extracting contact information from a block of text for lead generation.
  • Pulling out dates, locations, or names from customer support tickets.
  • Identifying key terms or phrases from research documents or articles.

Key capabilities

  • Entity recognition and extraction
  • Pattern matching based on user-defined rules
  • Text summarization with focus on specific details

Example prompts

  • "Extract all email addresses from this document."
  • "Find the dates mentioned in this report."
  • "List the names of people discussed in this conversation."

Tips & gotchas

  • Ensure your input text is well-formatted and free of excessive noise for better accuracy.
  • The effectiveness may vary depending on the complexity and structure of the text being analyzed.