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 kezd088/100x-skill-tiktok --skill 100x-tiktokgit clone --depth 1 https://github.com/kezd088/100x-skill-tiktokWrote 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/kezd088/100x-skill-tiktok/100x-tiktok)<a href="https://agentmods.dev/skills/kezd088/100x-skill-tiktok/100x-tiktok"><img src="https://agentmods.dev/badge/skills/kezd088/100x-skill-tiktok/100x-tiktok/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/kezd088/100x-skill-tiktok/100x-tiktok"><img src="https://agentmods.dev/badge/skills/kezd088/100x-skill-tiktok/100x-tiktok.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 | $0.00121 | $0.01574 |
| Opus 5 | $0.00060 | $0.00787 |
| Sonnet 5 | $0.00024 | $0.00315 |
| Haiku 4.5 | $0.00012 | $0.00157 |
Grade A, and why
100x-tiktok 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
100x-tiktok · TikTok/UGC 创意流水线路由
一句话定位
TikTok/UGC 广告创意生产流水线的总路由。不代替任何 skill 的独立调用能力，只帮你 根据当前任务选对入口，或在拿到某个 skill 的产出后指出"下一步通常怎么做"。
模式一：任务前路由（先诊断再指路）
你说"我要做一条 TikTok 广告"→ 路由会诊断你当前手里有什么、缺什么，然后建议从 哪个 skill 开始。每个 skill 独立可调用，不需要按顺序——但如果你不知道从何下手， 路由帮你定位。
以下 8 个 skill 均已通过独立验证，注册于 skills.json：
| Skill | 步骤 | 一句话说明 | 典型触发场景 |
|---|---|---|---|
100x-video-reverse |
0 视频反推 | 本地视频→只读证据→语义镜头时间轴+稳定资产图+音频文字证据+提示词包+provenance | "反推这条视频""这个视频怎么复刻""reverse this video" |
100x-segment |
1 分段 | 口播脚本切三段：段落逻辑+镜头目的+气口标记 | "帮我分段""这段哪里该喘气""拆一下这条口播文案" |
100x-localize |
2c 投放语本地化 | 源文案→墨西哥西语本地化，主动压缩防直译膨胀 | "本地化成西语""翻译成西语文案""localize this ad copy" |
100x-persona |
3.1 人物×场景 | 脚本→"谁来讲"+"在哪拍"，逐字回指原文 | "给这条脚本配个人设""这条广告适合什么场景拍""who should deliver this script" |
100x-exaggerate |
3.3 夸张/反差 | 脚本→夸张技法+反差对，强度按市场/帽度天花板校准 | "帮这条脚本加点夸张""怎么更抓人""add a before/after contrast" |
100x-search-query |
3.4 搜索关键词 | 产品/人设→Pinterest/TikTok/Reddit 各 15 条英文搜索词 | "去哪找参考图""给我搜索关键词""find reference images" |
100x-visual-fission |
5 视觉裂变 | 锁定人物/场景/产品参考→媒介裂变提示词矩阵（单帧/首尾/首中尾/数日×ABC机位） | "帮我裂变这条视觉参考""生成裂变提示词矩阵""fission this reference" |
100x-prompt-compose |
6 提示词+模型 | 模板+变量→逐字渲染、按目标模型包装的最终生成提示词 | "帮我组装提示词""填个模板出提示词""选个模板配变量""compose a video prompt" |
模式二：任务后导航（刚做完 X，下一步做什么）
你刚跑完一个 skill，拿到了产出 → 路由告诉你典型的下一步。注意：这只是"推荐路线"， 不是强依赖——每个 skill 都独立可调，你随时可以从任意一个入口开始。
| 刚做完 | 典型下一步 | 说明 |
|---|---|---|
100x-video-reverse |
→ 生成适配／100x-visual-fission／100x-prompt-compose |
先复核反推包；后两个 Skill 可消费其中的参考资产或提示词，但不承诺直接兼容完整 reverse.json |
100x-segment |
→ 100x-persona 或 100x-localize |
分好段了，要么配人物场景，要么直接本地化 |
100x-localize |
→ 100x-exaggerate |
西语文案有了，加夸张和反差让它不"平" |
100x-persona |
→ 100x-search-query 或 100x-exaggerate |
人设场景定了，可以搜视觉参考或设计夸张点 |
100x-exaggerate |
→ 100x-visual-fission 或 100x-prompt-compose |
夸张反差设计了，要么做视觉裂变出多版，要么直接组装提示词 |
100x-search-query |
→ 100x-visual-fission |
搜到参考图了，锁住身份做媒介裂变 |
100x-visual-fission |
→ 100x-prompt-compose |
裂变提示词矩阵有了，选模板+变量组装最终提示词喂模型 |
100x-prompt-compose |
（终点） | 提示词已组装好，可以直接喂 Veo/Seedance/即创 |
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 · 67 lines · 121 tokens per session scan A b5f62f768f71
100x-tiktok is a skill published in the GitHub repository kezd088/100x-skill-tiktok (8 stars, last pushed 16d ago), licensed MIT. It adds 121 tokens to every session and 1,574 once invoked, about $0.0006 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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