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Langextract

Checked
aeonbridge·vlatest·other·MIT

Langextract extracts key information from text, streamlining data analysis and providing quick insights for faster decision-making.

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 aeonbridge/ab-anthropic-claude-skills --skill langextract -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

aeonbridge

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 aeonbridge/ab-anthropic-claude-skills at 3a700eb025.

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

Commit
3a700eb025
Manifest
output/langextract/SKILL.md
Scanned
1 file, 1,132 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 langextract skill allows AI agents to extract structured data from text. It can identify and isolate specific pieces of information, such as names, dates, locations, or other relevant entities. This capability enables the agent to process unstructured text and convert it into a more usable format for further analysis or action.

When to use it

  • Summarizing documents: Quickly extract key facts and figures from lengthy reports or articles.
  • Data entry automation: Automatically populate databases with information found in emails, forms, or other textual sources.
  • Entity recognition: Identify specific entities (people, organizations, locations) mentioned within a body of text.
  • Information retrieval: Pull out targeted details from large collections of documents based on defined criteria.

Key capabilities

  • Structured data extraction
  • Entity identification
  • Text processing

Example prompts

  • "Extract all the dates and names from this article."
  • "Can you find the location mentioned in this email?"
  • "What are the key figures discussed in this report?"

Tips & gotchas

The effectiveness of langextract depends heavily on the clarity and structure of the input text. Ambiguous or poorly written content may result in inaccurate extractions.