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 guyulong/cn-agent-skills --skill douyin-miniapp-adaptergit clone --depth 1 https://github.com/guyulong/cn-agent-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/guyulong/cn-agent-skills/douyin-miniapp-adapter)<a href="https://agentmods.dev/skills/guyulong/cn-agent-skills/douyin-miniapp-adapter"><img src="https://agentmods.dev/badge/skills/guyulong/cn-agent-skills/douyin-miniapp-adapter/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/guyulong/cn-agent-skills/douyin-miniapp-adapter"><img src="https://agentmods.dev/badge/skills/guyulong/cn-agent-skills/douyin-miniapp-adapter.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 | $0.00023 | $0.00541 |
| Opus 5 | $0.00012 | $0.00270 |
| Sonnet 5 | $0.00005 | $0.00108 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
douyin-miniapp-adapter 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
抖音小游戏适配器
使用场景
将H5游戏或应用迁移到抖音小游戏平台。
适配要点
1. 项目结构
├── game.json # 游戏配置
├── game.js # 入口文件
├── js/
│ ├── main.js # 主逻辑
│ └── libs/ # 第三方库
├── assets/ # 资源文件
└── project.config.json # 项目配置
2. API 替换对照
| H5 API | 抖音小游戏 API |
|---|---|
document.createElement('canvas') |
tt.createCanvas() |
new Image() |
tt.createImage() |
XMLHttpRequest |
tt.request() |
localStorage |
tt.setStorageSync() / tt.getStorageSync() |
window.innerWidth |
tt.getSystemInfoSync().windowWidth |
Audio |
tt.createInnerAudioContext() |
requestAnimationFrame |
canvas.requestAnimationFrame |
3. 注意事项
- 没有 DOM 操作，所有渲染通过 Canvas
- 没有
window对象，用tt替代 - 文件系统使用
tt.getFileSystemManager() - 分包加载配置在
game.json - 必须处理
tt.onHide和tt.onShow生命周期
4. 审核要求
- 必须有隐私协议
- 用户信息获取需要授权弹窗说明
- 分享功能必须是用户主动触发
- 不能有自动播放的音视频
- 适配刘海屏和底部安全区
5. 广告接入
- 激励视频：
tt.createRewardedVideoAd() - 插屏广告：
tt.createInterstitialAd() - Banner广告：
tt.createBannerAd()
6. 性能优化
- 资源总量建议 < 4MB（首包）
- 使用纹理压缩
- 避免频繁GC
- 合理使用对象池
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 · 63 lines · 23 tokens per session scan A 2476509df55e
douyin-miniapp-adapter is a skill published in the GitHub repository guyulong/cn-agent-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 541 once invoked, about $0.0001 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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