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Typescript Sdk

Checked
comet-ml·vlatest·backend·Apache-2.0

Provides TypeScript guidance and assistance for developing backend services and APIs.

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 comet-ml/opik --skill typescript-sdk -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

comet-ml

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 comet-ml/opik at 7948263f97.

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

Commit
7948263f97
Manifest
.agents/skills/typescript-sdk/SKILL.md
Scanned
2 files, 117 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

The TypeScript SDK skill enables AI agents to interact with the Comet ML Opik platform, allowing them to log experiments, track metrics, and manage model evaluations directly from code. It provides a programmatic interface for developers to integrate experiment tracking into their machine learning workflows without manual setup.

When to use it

  • Automating the logging of training runs and hyperparameters during CI/CD pipelines.
  • Retrieving historical experiment data to compare model performance across different versions.
  • Triggering automated evaluations on new datasets once a model reaches a specific accuracy threshold.
  • Generating structured reports of model metrics for stakeholder review without exporting raw logs.

Key capabilities

  • Logging experiments with custom metadata and tags.
  • Tracking scalar metrics, images, and plots over time.
  • Managing projects and datasets within the Opik workspace.
  • Querying experiment results via SDK methods.

Example prompts

  • "Log this training run with hyperparameters learning_rate=0.01 and batch_size=32 to my current project."
  • "Retrieve all experiments from last week where the loss was below 0.5 and show me their final metrics."
  • "Create a new dataset entry for 'customer_churn_v2' and upload the CSV file located at /data/churn.csv."

Tips & gotchas

Ensure your environment has the opik package installed before attempting to use this skill, as it relies on specific authentication tokens. The SDK requires valid API credentials configured in your local environment or passed securely via context variables to access private projects.