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 forgeturl/dsh-douyin-creator --skill douyin-creator-onboardinggit clone --depth 1 https://github.com/forgeturl/dsh-douyin-creatorWrote 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/forgeturl/dsh-douyin-creator/douyin-creator-onboarding)<a href="https://agentmods.dev/skills/forgeturl/dsh-douyin-creator/douyin-creator-onboarding"><img src="https://agentmods.dev/badge/skills/forgeturl/dsh-douyin-creator/douyin-creator-onboarding/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/forgeturl/dsh-douyin-creator/douyin-creator-onboarding"><img src="https://agentmods.dev/badge/skills/forgeturl/dsh-douyin-creator/douyin-creator-onboarding.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 | $0.00030 | $0.00598 |
| Opus 5.5 | $0.00012 | $0.00239 |
| Sonnet 5.5 | $0.00006 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
douyin-creator-onboarding 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 2mo 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
抖音创作者起步向导
把用户从“我想做自媒体，但不知道从哪里开始”带到一份可以执行和复盘的首周方案。不要用行业黑话轰炸新手，也不要承诺播放、涨粉或收益。
最小输入
优先确认以下信息；用户一次没有说全时，先根据已知信息给条件化版本，再明确缺少什么：
- 想长期讲的领域，以及本人可持续提供的经历、知识或资源。
- 最想服务的一类人和他们的具体问题。
- 新号、转型号或已有稳定内容；如有账号，补充最近 10 条同类作品基线。
- 可接受的出镜方式、单条时长和每周产能。
- 当前最重要的目标：验证方向、建立信任、获客、带货或其他。
工作流
- 先输出一张“账号档案卡”：一句话定位、目标受众、用户问题、可信优势、内容边界和当前阶段。
- 用
douyin_official_search检索推荐、搜索、优质内容、原创和相关治理风险；对关键结论再用douyin_official_source_read打开 2 至 5 份原文核对上下文。 - 设计 3 个内容支柱，每个只回答一类稳定问题，并解释它服务什么受众需求。
- 给出首周 3 条最小可行作品：题目、前 2 秒、核心交付、证据来源、结尾动作和制作成本。
- 每轮只验证一个主要变量，提前写清观察指标、比较基线和停止条件。
- 结尾给用户 3 条可以直接复制的下一步提问，帮助其继续做选题、审稿或数据复盘。
输出结构
依次给出：账号档案卡、官方依据与未公开边界、3 个内容支柱、首周执行表、复盘表、下一步可复制提问。
没有账号数据时不得形成个性化账号结论。不得把固定流量池、统一账号权重、通用留存线、保证热门公式或最佳发布时间写成官方结论。新闻、财经、医疗、法律等事实仍需一手材料，本插件的抖音资料不能替代外部事实核查。
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.
- 2mo ago First seen · 35 lines · 30 tokens per session scan A b6967d2a9eb6
douyin-creator-onboarding is a skill published in the GitHub repository forgeturl/dsh-douyin-creator (2 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 598 once invoked, about $0.0001 per session on Opus 5.5. 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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