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.
npx skills add jianshuo/claude-skills --skill wjs-localizing-videogit clone --depth 1 https://github.com/jianshuo/claude-skillsWrote 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.
[](https://agentmods.dev/skills/jianshuo/claude-skills/wjs-localizing-video)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-localizing-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-localizing-video/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.
<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-localizing-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-localizing-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 54 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00134 | $0.02464 |
| Opus 5 | $0.00067 | $0.01232 |
| Sonnet 5 | $0.00027 | $0.00493 |
| Haiku 4.5 | $0.00013 | $0.00246 |
Grade A, and why
wjs-localizing-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wjs-localizing-video (orchestrator)
This skill was split. What used to be one 1300-line catch-all is now 4 focused sub-skills. Use this orchestrator only when the user asks for the full pipeline in one request. For any individual step, route directly to the sub-skill.
The four sub-skills
| Step | Skill | IN | OUT |
|---|---|---|---|
| 1. ASR | /wjs-transcribing-audio |
audio / video + source language | source-language SRT |
| 2. Translate | /wjs-translating-subtitles |
source SRT + target language | target SRT (punct-bounded) |
| 3. Dub (optional) | /wjs-dubbing-video |
video + target SRT + voice | *_<lang>_dub.mp4 (TTS audio swapped in) |
| 4. Burn / mix (optional) | /wjs-burning-subtitles |
video + SRT + (optional dub) | final MP4 (one encode) |
Steps 3 and 4 are optional and independent — most "subtitle-only" jobs stop after step 2 + soft-mux via /wjs-burning-subtitles. Most "dub-only" jobs stop after step 3.
When to invoke this orchestrator vs a sub-skill directly
Invoke this skill (wjs-localizing-video) when the user asks for the whole chain in one go:
- "帮我把这个西班牙语视频做成中文字幕和中文配音"
- "translate this Spanish video to English with dubbing"
- "全套：转写、翻译、烧字幕、配音、混音"
Invoke a sub-skill directly when the user asks for one step:
- "转写一下这个音频" →
/wjs-transcribing-audio - "把这个 SRT 翻译成中文" →
/wjs-translating-subtitles - "给这个视频配个中文音" →
/wjs-dubbing-video - "把字幕烧进视频" →
/wjs-burning-subtitles
The sub-skills are more focused and document their input/output contracts tighter. Don't route through this orchestrator when a single step is the whole ask — you'll just be reading docs you don't need.
Progress checklist (do this FIRST, before any sub-skill)
The pipeline has up to four steps and runs for several minutes. The user wants to see live progress, not a wall of silence followed by a finished file. Before invoking the first sub-skill, lay out the planned steps as a TaskCreate checklist. As you start each step, update its task to in_progress; when it finishes, mark completed. Claude Code renders this as a checklist in the UI that ticks off in real time.
What ships with it
4 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.
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.
- 12d ago First seen · 182 lines · 134 tokens per session scan A c658af334a74
wjs-localizing-video is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 134 tokens to every session and 2,464 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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