What is wjs-teaching-english?

A video lesson maker that turns one English word into an HLS video playlist, a format used for streaming video. It combines a bilingual introduction, matching clips from a video collection, and a closing card.

Choosing a target word, writing its pronunciation and Chinese explanation, generating voice audio, finding every matching clip, stitching the clips into an M3U8 playlist, and adding introduction and closing segments.

It creates a complete vocabulary lesson from existing clips without rendering one large MP4 file. HLS lets the result play as a streamed playlist.

wjs-teaching-english — Skill for Claude Code and Codex by jianshuo

Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin wjs-teaching-english — /plugin install wjs-teaching-english after adding the marketplace above.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-teaching-english/github.svg)](https://agentmods.dev/skills/jianshuo/claude-skills/wjs-teaching-english)

Your own site

<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-teaching-english"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-teaching-english/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-teaching-english"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-teaching-english.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 963 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.

Model	Per session	Once invoked
Fable 5.1	$0.00153	$0.00963
Opus 5	$0.00077	$0.00481
Sonnet 5	$0.00031	$0.00193
Haiku 4.5	$0.00015	$0.00096

Measured 13d ago against content hash 6243bcca1fef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wjs-teaching-english 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 13d ago.

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.

wjs-teaching-english/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Teach an English word as a video supercut

Turn one English word into a self-contained HLS lesson:

intro.ts  (word /IPA/ · 中文 gloss · usage + Volcano TTS)
   ⋯ EXT-X-DISCONTINUITY
[supercut] every season2 clip where the word is spoken  (search-app /api/playlist, COS URLs)
   ⋯ EXT-X-DISCONTINUITY
cta.ts    (关注王建硕 + Volcano TTS)
= search-app/out/<word>.m3u8

No MP4 is burned — only the two cards are rendered as tiny .ts, re-encoded to match the supercut's codec so they play in any HLS player.

Prerequisites (check once)

ffmpeg / ffprobe on PATH (Homebrew).
Python volcengine SDK (declared in mira requirements.txt, used for TTS): python3 -c "import volcengine". If missing, ask the user to allow pip3 install volcengine==1.0.58 (it's a pinned repo dependency).
The deployed search-app at https://search-app-three-kappa.vercel.app (default). Override with SEARCH_APP_BASE=http://localhost:3000 if running locally (needs Node ≥ 23.6 + npm start).

Steps

Get the word. A single English word (or short phrase). If the user gave a sentence, pick the target word.
Write the mini-lesson JSON. YOU (Claude) author it — no dictionary API. Keep it accurate and concise. Save to a temp file, e.g. /tmp/lesson.json:
```
{
  "word": "love",
  "ipa": "/lʌv/",
  "pos": "v. / n.",
  "gloss": "爱，热爱",
  "usage": "下面是它在真实电影里的说法",
  "tts_text": "love. 爱。"
}
```
- tts_text is read aloud over the intro card — keep it to the word + a short 中文 gloss (Volcano reads mixed English/中文 fine).
- usage is one short line shown on the card (≤ ~20 chars renders best at low resolutions).
Build it:
```
cd /Users/jianshuo/code/mira/search-app
python3 scripts/build_lesson.py --word love --lesson /tmp/lesson.json
```
Useful flags: --speaker zh_female_qingxin (default), --limit 300 (max clips), --no-tts (silent cards), --base <url>, --out <dir>.
Report the printed output path (search-app/out/<word>.m3u8) and the clip count. The .m3u8 plus its sibling <word>.intro.ts / <word>.cta.ts are the deliverable; out/ is git-ignored.

Read the full file on GitHub · 78 lines

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.

13d ago First seen · 78 lines · 153 tokens per session scan A 6243bcca1fef

Subscribe to this mod's changes

wjs-teaching-english is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 23d ago), licensed MIT. It adds 153 tokens to every session and 963 once invoked, about $0.0008 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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