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Token plan generate video

Skill coconilu/token-plan-media-hub/adapters/codex/token-plan-media-hub/skills/token-plan-generate-video

Local-first media generation hub and cross-agent MCP/Skill blueprint for Alibaba Cloud Model Studio Token Plan

Install
npx -y skills add coconilu/token-plan-media-hub --skill token-plan-generate-video

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 13 days oldThe repository was created 13 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Submit and track an Alibaba Model Studio video-generation job through the local Token Plan Media Hub. Use for text-to-video requests and, only when reported by the Hub, image-to-video or reference-video requests. Do not use for deterministic editing, timeline composition, or an unsupported model capability.

SKILL.md

1.0 KB, 149 tokens by cl100k_base, as published. Nobody here has run it

Token Plan Generate Video

  1. Require the token-plan-media-hub MCP server.
  2. Call list_models for the requested video capability.
  3. Use only parameters declared by that model. Do not reuse duration or resolution limits from another model.
  4. Call generate_video and report the returned job ID immediately.
  5. Poll with get_job at a conservative cadence. A timeout is unknown/pending, not success or failure.
  6. When complete, return the artifact ID, local MP4 path, model, provider task ID summary, and manifest path.

If the user requests a silent result and the provider cannot disable audio, state that the Hub will remove the downloaded audio track locally.

What ships with it: 1 file

209 B alongside SKILL.md

agents/

Gives 0 of the 12 instructions most plan spec skills give in 149 tokens

Counted across 1,099 of the 1,860 authors here whose files we hold, read 2026-08-07

  • Ask one question at a timein 51 of 1099
  • Break plans into vertical slicesin 29 of 1099, across 11 files
  • Publish issues in dependency orderin 27 of 1099, across 9 files
  • Iterate until user approves the breakdownin 25 of 1099, across 7 files
  • Explore the repository to understand the codebase statein 24 of 1099, across 7 files
  • Use domain glossary vocabularyin 23 of 1099, across 5 files
  • Apply correct triage labels to published issuesin 23 of 1099, across 5 files
  • Prefer AFK slices over HITLin 22 of 1099, across 7 files
  • Write a specification before writing any codein 22 of 1099, across 14 files
  • Write failing tests before implementation codein 22 of 1099, across 20 files
  • Ask clarifying questions until requirements are concretein 21 of 1099, across 13 files
  • Respect existing architecture decision recordsin 20 of 1099, across 5 files

Said here and by no other author read

  • require the token-plan-media-hub server
  • call list_models for the requested capability
  • use only parameters declared by the model
  • call generate_video for the request
  • report the returned job ID immediately
  • poll with get_job at a conservative cadence

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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