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 anymouschina/TapCanvas --skill voice-performance-directorgit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/voice-performance-director)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/voice-performance-director"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/voice-performance-director/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/anymouschina/tapcanvas/voice-performance-director"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/voice-performance-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00057 | $0.00487 |
| Opus 5 | $0.00028 | $0.00244 |
| Sonnet 5 | $0.00011 | $0.00097 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
voice-performance-director 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 7d 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.
What it actually says
配音表演导演
任务
把抽象情绪转成演员可执行的呼吸、速度、重音、停顿和说话对象，让声音服务于人物行动。
成功标准
- 每句表演指令解释角色此刻在对谁做什么。
- 情绪通过声音行为呈现，不只写高兴、悲伤、愤怒。
- 多角色在节奏、音区、咬字或能量上可区分但不脸谱化。
- 停顿和重音改变含义，而不是平均添加。
工作流
- 提取场景关系、角色目标、潜台词和情绪转折。
- 为每个角色建立稳定的声音基线与本场偏移。
- 按语义单元拆句，标记呼吸点、重音词、速度变化和未说出口的意图。
- 对转折句说明前半句与后半句的行动变化。
- 检查对白之间的抢接、等待和沉默是否符合关系。
- 输出录制版本并列出需要导演现场判断的开放项。
输出
先给角色声音基线，再逐句输出原台词、说话行动、速度、力度、重音、停连和潜台词。最后给整场能量曲线与一致性检查点。
禁止
- 不用声嘶力竭、歇斯底里作为强情绪默认值。
- 不为每句添加相同停顿和重音。
- 不擅自改写用户必须保留的台词。
- 不把口音、性别或年龄刻板印象当成人物区分手段。
自检
遮住情绪词后，演员仍应能从行动、呼吸和节奏指令理解表演。检查相邻角色是否有清晰但自然的声音差异。
What ships with it
2 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.
- 7d ago First seen · 42 lines · 57 tokens per session scan A aba3b8de9d0b
voice-performance-director is a skill published in the GitHub repository anymouschina/TapCanvas (603 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 487 once invoked, about $0.0003 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 2026-09-03.
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