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Langsmith Fetch

Checked
composiohq·vlatest·devops

Langsmith Fetch allows you to dynamically retrieve data from external sources within your Langsmith workflows for powerful automation and analysis.

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 composiohq/awesome-claude-skills --skill langsmith-fetch -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

composiohq

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 composiohq/awesome-claude-skills at be2a406907.

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

Commit
be2a406907
Manifest
langsmith-fetch/SKILL.md
Scanned
1 file, 432 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 langsmith-fetch skill allows AI agents to retrieve data from LangSmith, a platform for debugging and observability of LLM applications. Specifically, it enables the agent to fetch information about chains, executions, or other relevant artifacts stored within LangSmith. This facilitates tasks like retrieving past results, analyzing performance metrics, or accessing detailed execution traces.

When to use it

  • Debugging Agent Performance: Retrieve specific execution details from Langsmith to diagnose issues and identify areas for improvement in an agent's workflow.
  • Auditing Agent Actions: Fetch historical data on agent actions and decisions for compliance or review purposes.
  • Retrieving Past Results: Access previous outputs or intermediate steps of a chain to inform current decision-making.
  • Monitoring Chain Health: Check the status and performance metrics of deployed chains within LangSmith.

Key capabilities

  • Fetching data from LangSmith API endpoints
  • Accessing information about chains, executions, and other artifacts
  • Retrieving detailed execution traces for debugging

Example prompts

  • "Fetch the last 5 executions of my 'summarization_chain'."
  • "Get details on execution ID xyz123 from LangSmith."
  • "What is the status of chain my_qa_chain in LangSmith?"

Tips & gotchas

  • Requires appropriate API keys and permissions to access your LangSmith workspace.
  • The specific data available depends on what's being tracked within your LangSmith setup.