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Langsmith Deployment

Listed
lubu-labs·vlatest·devops·MIT

Automate LangSmith deployment and configuration for seamless LLM observability and debugging workflows.

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 soba-labs/langchain-agent-skills --skill langsmith-deployment -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

lubu-labs

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.host.langchain.com, docs.langchain.com, eu.api.host.langchain.com, smith.langchain.com.

    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

    api.host.langchain.comundeclaredeu.api.host.langchain.comundeclaredsmith.langchain.comundeclaredgithub.comsource hostdocs.langchain.comundeclared

    What it found (3 of 21)

    • skills/langsmith-deployment/scripts/deploy_to_langsmith.py:6contacts api.host.langchain.com
      - US: https://api.host.langchain.com
    • skills/langsmith-deployment/scripts/deploy_to_langsmith.py:26contacts api.host.langchain.com
      DEFAULT_CONTROL_PLANE_US = "https://api.host.langchain.com"
    • skills/langsmith-deployment/scripts/deploy_to_langsmith.py:285contacts api.host.langchain.com
      "Cloud defaults: https://api.host.langchain.com (US), "
  • 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 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 lubu-labs/langchain-agent-skills at a2d4a1011b.

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

Scanned
15 files, 2,855 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-deployment skill allows AI agents to deploy and manage LangSmith deployments. It facilitates the creation, updating, and deletion of LangSmith deployment resources directly from within an agent's workflow. This enables automated experimentation and management of LLM applications using LangSmith’s observability platform.

When to use it

  • Automated Experimentation: An agent needs to automatically deploy different versions of a chatbot for A/B testing, then analyze the results in LangSmith.
  • Dynamic Configuration: An agent must adjust deployment settings (e.g., memory, temperature) based on real-time performance metrics observed within LangSmith.
  • Infrastructure Provisioning: An agent needs to create new LangSmith deployments as part of an automated application rollout process.
  • Rollback and Recovery: An agent automatically reverts to a previous deployment in LangSmith if errors are detected during runtime.

Key capabilities

  • Create LangSmith Deployments
  • Update existing LangSmith Deployments
  • Delete LangSmith Deployments

Example prompts

  • "Deploy a new chatbot version named 'my-chatbot-v2' with the latest code."
  • "Increase the temperature of the current deployment to 0.8 and log the changes in LangSmith."
  • “Roll back the last deployment if the error rate exceeds 5%.”

Tips & gotchas

Requires a configured LangSmith API key for authentication. Ensure the agent has appropriate permissions within your LangSmith organization to perform deployment actions.