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Ai Sdk

Listed
solidspoon·vlatest·backend·AGPL-3.0

Provides AI guidance and assistance for building AI and machine learning applications.

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 solidspoon/dashplayer --skill ai-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

solidspoon

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: ai-gateway.vercel.sh.

    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

    ai-gateway.vercel.shundeclared

    What it found

    • .agents/skills/ai-sdk/SKILL.md:47contacts ai-gateway.vercel.sh
      curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '.data[].id'
    • .agents/skills/ai-sdk/SKILL.md:50contacts ai-gateway.vercel.sh
      curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '[.data[] | select(.id | startswith("anthropic/")) | .id] | reverse | .[]'

  • 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 solidspoon/dashplayer at e9e1029e64.

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

Commit
e9e1029e64
Manifest
.agents/skills/ai-sdk/SKILL.md
Scanned
1 file, 77 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 SolidSpoon AI SDK (ai-sdk) provides tools and functionalities specifically designed to interact with and control dashplayer instances. It allows AI agents to programmatically manage playback, adjust settings like volume and quality, and retrieve information about the current media being played. This skill enables integration of dashplayer into automated workflows or intelligent systems.

When to use it

  • Automated Playback: Schedule and initiate video playback within a dashplayer instance based on external events or data.
  • Dynamic Quality Adjustment: Automatically adjust video quality settings (resolution, bitrate) in response to network conditions or user preferences.
  • Content Discovery & Play: Integrate with content management systems to automatically find and play specific videos within the dashplayer interface.
  • Interactive Video Experiences: Create AI-powered interactive experiences where the agent responds to user input by controlling playback actions.

Key capabilities

  • Playback control (play, pause, stop)
  • Volume adjustment
  • Quality setting modification
  • Media information retrieval

Example prompts

  • "Play video 'example.mpd' in dashplayer."
  • "Increase the volume of the current video by 10%."
  • “Set the quality to 720p.”

Tips & gotchas

  • Requires a running instance of dashplayer to function correctly.
  • Specific commands and available settings may vary depending on the version of dashplayer being used.