unit-video

A video-making workflow that turns a reading unit from the Echo Reading project into a narrated teaching video. It currently supports only the Chinese classic Tao Te Ching.

In plain words
What is it for?
It helps write narration, create text-to-speech timing and storyboards, render 16:9 videos, and re-render or inspect videos for a Tao Te Ching chapter or unit.
Why use it?
It converts preparation notes into a structured video, so the material can be studied or explained in video form.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/plustar35/echo-reading/unit-video
Any agent
npx skills add plustar35/echo-reading --skill unit-video
Clone the repo
git clone --depth 1 https://github.com/plustar35/echo-reading

Made for: Claude Code, Codex.

Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,628 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00148 $0.02628
Opus 5 $0.00074 $0.01314
Sonnet 5 $0.00030 $0.00526
Haiku 4.5 $0.00015 $0.00263

Measured 3d ago against content hash b3ca4699173e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

unit-video 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 3d ago.

The scan reads SKILL.md. This mod also ships 30 executable files (assets/道德经/水墨卷轴/配置.js, dist/cli/align-durs.js, dist/cli/draft-storyboard.js, …), 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.

.claude/skills/unit-video/SKILL.md · 175 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

56 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. 3d ago First seen · 175 lines · 148 tokens per session scan A b3ca4699173e

Subscribe to this mod's changes

unit-video is a skill published in the GitHub repository plustar35/echo-reading (142 stars, last pushed 2mo ago), with no licence file. It adds 148 tokens to every session and 2,628 once invoked, about $0.0007 per session on Opus 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 2026-08-30.

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