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 tranfu-labs/tranfu-skills --skill review-animationsgit clone --depth 1 https://github.com/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/review-animations)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/review-animations"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/review-animations/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/tranfu-labs/tranfu-skills/review-animations"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/review-animations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00090 | $0.00462 |
| Opus 5 | $0.00045 | $0.00231 |
| Sonnet 5 | $0.00018 | $0.00092 |
| Haiku 4.5 | $0.00009 | $0.00046 |
Grade A, and why
review-animations 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.
What it actually says
review-animations (external thin pointer)
这是一个 external 薄指针 —— 公司库只存 frontmatter 和推荐者补充内容，不复制上游完整 skill body。
首次 tfs install review-animations 时，install 流程会从 source_url 拉取上游 skill 到本地。上游目录包含 SKILL.md 和 STANDARDS.md。
- 上游 skill: https://github.com/emilkowalski/skills/tree/main/skills/review-animations
- 上游仓库: https://github.com/emilkowalski/skills
- 作者: Emil Kowalski
- 相关课程: https://animations.dev/
- License: MIT
完整内容见 source_url。更新内容请直接看上游 README / SKILL.md / STANDARDS.md，别在本仓库改 body。
推荐场景
适用:
- 对 animation / motion 代码做严格 review
- 检查
transition: all、scale(0)、ease-in、高频动作动画、非 GPU 属性、缺 reduced-motion 等问题 - 希望输出 findings table 和明确 Block / Approve 结论
不适用:
- 实现新功能或替用户直接写完整动画
- 只是查询某个动效叫什么，优先用
animation-vocabulary - 泛泛 UI polish 或设计方向讨论，优先用
emil-design-eng
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 · 36 lines · 90 tokens per session scan A 4d5ed165d0ff
review-animations is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 462 once invoked, about $0.0005 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 2026-08-31.
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review-animations
Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.
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