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Loom Nodejs

Checked
link-loom·vlatest·backend·Apache-2.0

Loom Nodejs generates efficient, serverless functions from your code, simplifying backend development and scaling effortlessly.

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 link-loom/agent-skills --skill loom-nodejs -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

link-loom

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 link-loom/agent-skills at 6078533288.

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

Scanned
5 files, 953 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

This skill allows an AI agent to interact with Loom, a video messaging platform. It enables agents to create new Loom recordings, list existing Loom videos by user or team, and retrieve details about specific Loom videos including their URL and description. This facilitates automated documentation, feedback collection, and internal communication workflows.

When to use it

  • Automated Documentation: Generate short Loom video explanations for code changes or project updates.
  • Feedback Collection: Automatically create Loom recordings to solicit feedback from team members on design mockups or prototypes.
  • Internal Communication: Send personalized Loom messages with instructions or announcements to specific users or teams.
  • Knowledge Base Creation: Populate a knowledge base with Loom videos demonstrating common procedures.

Key capabilities

  • Create new Loom recordings
  • List Loom videos by user
  • List Loom videos by team
  • Retrieve details about individual Loom videos (URL, description)

Example prompts

  • "Record a Loom video explaining the changes in commit hash abc123."
  • "Show me all Loom videos created by John Doe this week."
  • "Get the URL and description of the Loom video titled 'Project Alpha Demo'."

Tips & gotchas

Requires an active Loom account with API access. The agent will need appropriate permissions within your Loom workspace to perform actions like creating recordings or listing videos.