plotbeat

plotbeat is a skill for Claude Code, Codex from Unclecheng-li/AI_Animation. It costs 100 tokens per session (2,179 once invoked), scanned A, original, MIT.

A workflow for turning CSV or JSON data into editable, deterministic data-visualization videos. It uses chart templates and HyperFrames, a composition and rendering system, to prepare, preview, validate, and render the result.

In plain words
What is it for?
Use it to make line-chart stories, ranking videos, and similar visual explanations from local data or an approved public data source.
Why use it?
It avoids creating a separate animation and video-rendering system for every chart story. It also requires the supporting HyperFrames skill, so the workflow stops rather than pretending it can work without that dependency.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/prepare-data.mjs \.

Good fit Use it to make line-chart stories, ranking videos, and similar visual explanations from local data or an approved public data source.

Compare 6 skills from other repositories ↓
About the project

AI Animation Skills is a collection of agent instructions and templates for generating single-file HTML animations, including presentations, diagrams, protocol visualizations, phone interfaces, and video-style scenes. People use the skills with AI coding agents to create animated web pages from descriptions or templates. The catalogue entries are the collection's individual generation workflows.

Unclecheng-li/AI_Animation · 1,596 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation
agentmods
npx agentmods add skills/unclecheng-li/ai_animation/single-line-story

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plotbeat

README.md
[![agentmods](https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/single-line-story/github.svg)](https://agentmods.dev/skills/unclecheng-li/ai_animation/single-line-story)
Your own site
<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/single-line-story"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/single-line-story/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for plotbeat

Your own site · 80×15
<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/single-line-story"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/single-line-story.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,179 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.02179
Opus 5.5 $0.00040 $0.00872
Sonnet 5.5 $0.00020 $0.00436
Haiku 4.5 $0.00010 $0.00218

Measured 16d ago against content hash e8ffec46bc0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plotbeat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 16d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (analytics.ts, build-catalog.mjs, chatgpt-auth.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ui2v-motions/01_动效库/itelmn/single-line-story/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plotbeat

Turn user-supplied data into a local HyperFrames composition. Start from a proven template, compile the data before playback, then use HyperFrames for timing, preview, validation, and rendering.

Require HyperFrames

Treat this as a fail-closed dependency gate. Before acquiring data, listing templates, scaffolding, editing, previewing, validating, or rendering:

  1. Resolve and read the installed hyperframes AI skill.

  2. If it is unavailable, stop and ask the user to install it with:

    npx skills add heygen-com/hyperframes --all
    
  3. Do not approximate the missing skill from general knowledge, use Plotbeat as a standalone generator, or continue with only the HyperFrames npm CLI.

  4. After the dependency is installed, resume through the hyperframes skill, then use Plotbeat for the data-video template workflow.

Preserve the product boundary

  • Treat HyperFrames as the composition and rendering engine.
  • Start through the main hyperframes skill and load its hyperframes-core, hyperframes-animation, and hyperframes-cli guidance as required.
  • Do not add a competing render loop, video encoder, scene scheduler, or standalone animation runtime.
  • Keep the output editable as an ordinary HyperFrames HTML project.
  • Use one paused, seek-safe timeline per scene. Derive visual state from timeline progress.
  • Keep the bundled music as a separate local <audio> element. Let HyperFrames own playback and use the registered GSAP timeline for volume fades; never call play(), pause(), or set currentTime yourself.
  • The bundled master covers the quick, standard, and deliberate presets (up to 56 seconds). For a longer exact duration, resolve or ingest a longer local BGM asset before previewing.
  • Compile CSV or JSON into a frozen local generated/data.js. Do not fetch live data during playback.
  • Do not use requestAnimationFrame, timers, D3 transitions, or nondeterministic randomness as playback clocks.

Acquire the dataset

  • Accept either a local .csv/.json file or a request to retrieve data from a named source, URL, public API, or authorized connector.
  • When retrieval is requested, fetch during preparation with the available connector, browser, API, or CLI. Do not make the user manually download a file when the agent can obtain it safely.
  • Prefer first-party and authoritative sources. Clarify the metric, entities or geography, date range, and frequency only when ambiguity would materially change the story.
  • Save the retrieved rows locally as CSV or JSON before scaffolding. Preserve the source URL or API name, query or filters, retrieval date, and material transformations; pass a concise citation through --source.
  • Never invent missing observations or silently join incompatible series. State any interpolation, aggregation, filtering, or carry-forward policy.
  • Fetch authenticated or private data only through access the user has authorized. Never expose credentials in the composition.

Read the full file on GitHub · 129 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 16d ago First seen · 129 lines · 100 tokens per session scan A e8ffec46bc0e

Subscribe to this mod's changes

plotbeat is a skill published in the GitHub repository Unclecheng-li/AI_Animation (1,596 stars, last pushed 2d ago), licensed MIT. It adds 100 tokens to every session and 2,179 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-06.

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