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 aronhy/tiktok-agent-skills --skill tiktok-growth-plangit clone --depth 1 https://github.com/aronhy/tiktok-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/aronhy/tiktok-agent-skills/tiktok-growth-plan)<a href="https://agentmods.dev/skills/aronhy/tiktok-agent-skills/tiktok-growth-plan"><img src="https://agentmods.dev/badge/skills/aronhy/tiktok-agent-skills/tiktok-growth-plan/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/aronhy/tiktok-agent-skills/tiktok-growth-plan"><img src="https://agentmods.dev/badge/skills/aronhy/tiktok-agent-skills/tiktok-growth-plan.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 | $0.00041 | $0.01214 |
| Opus 5 | $0.00020 | $0.00607 |
| Sonnet 5 | $0.00008 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
tiktok-growth-plan 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 13d 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
TikTok 增长计划
将账号能力与目标类目机会匹配为可执行的 30 天增长计划。只用可追溯、口径可比的上游证据;不把缺失数据、未经验证的基准或推测写成事实。
先加载参考并复用上游工作流
在调用工具、编排上游分析或下结论前,必须完整读取:
本 Skill 是编排层,必须复用而非重写以下上游 Skill 的工作流、实时 MCP schema、浏览器降级、来源账本、分页、完整性、可信度与安全规则:
- ../tiktok-account-audit/SKILL.md 及其
references/workflow.md、references/report-template.md - ../tiktok-category-strategy/SKILL.md 及其
references/workflow.md、references/report-template.md
需要了解 KSS 工具事实时,由上游工作流读取 ../tiktok-shop-operator/references/mcp-tools.md。实际连接的 MCP schema 始终优先;本 Skill 不得复制、猜测或扩展工具参数、字段和端点。
控制流程
- 依次检查四项首次阻断输入:公开 TikTok 账号主页 URL、目标类目、目标国家或地区、商业目标。首次发现缺失时,每次只问最高优先级的一个缺失项并停止:账号 URL 缺失时问“请提供公开 TikTok 账号主页 URL;它用于确认账号身份和现有能力。”;其后依次询问类目、市场、商业目标。此时不调用研究工具,不输出适配判断、条件计划、内容配比、进入建议或正式报告。
- 只有在反问后,用户明确表示不能或不愿提供该缺失输入并同时要求继续时,才允许有界部分输出:不调用缺失输入所依赖的上游研究;所有因此不可得的定位、适配与进入决定写“暂无法判断”;逐项列出缺失输入、影响和假设;仅给不依赖该缺失项且仍成立的条件框架/动作,标为 C(低可信度)。不能把这项例外用于默认、猜测或弱化首次反问。
- 记录可选约束:预算、团队能力、库存、每日可投入时间、价格带、计划周期、内容语言和对标账号。它们不是绝对门槛;未提供时标为“未提供”,不伪造行业基准、固定频次、预算、转化率或结果承诺。
- 对通过门槛的输入,完整执行
tiktok-account-audit工作流,保留其规范化账号、样本范围、来源账本、字段状态、代表内容、账号能力和可信度。 - 完整执行
tiktok-category-strategy工作流,保留其类目/市场映射、来源账本、可比窗口、进入结论、机会、内容/商品/达人证据、风险和可信度。 - 按增长工作流对齐市场、类目、时间窗口、对象 ID、币种、样本范围和指标定义;不可对齐的数据分开展示,不能据此比较或计算适配度。
- 结果前置:先按固定报告模板给运营定位、进入决策和三个立即执行动作,再给适配证据、保留/停止/新增、三条路径、日历、指标和限制。
- 若上游已完成允许的获取、重试、分页、关联和公开浏览器降级后,仍有会改变定位、进入决策或首要行动的缺失,只问一个最关键的问题并停止深度判断。用户明确表示无法补充且要求继续时,按同一有界部分输出规则处理。
输出边界
- 使用固定报告模板;将观察、推断、假设和待验证项分开写。适配或进入判断必须列出账号与类目两侧的支撑证据、反证/缺口及适用条件。
- 30 天日历、内容数量/比例、增长路径和 KPI 必须受已知预算、团队、库存和时间约束;缺失约束时写成待验证假设与调整条件,而不是默认运营标准。
- 不混淆播放量、互动、销量、销售额、价格、视频发布时间和统计窗口;不把单条爆款、单一来源或不可比样本当作账号或市场结论。
- 用户自述账号同时包含普通内容和带货内容时,只可把账号类型写为“混合型(用户提供)”,不得称为基于样本测量的账号分类或表现证据。
- 不绕过登录、验证码、反爬、地域限制或访问控制;不请求、保存或输出 API Key、Token、Cookie;不发布、私信、下单、改店或投放。
What ships with it
3 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.
- 13d ago First seen · 42 lines · 41 tokens per session scan A ef86ac039860
tiktok-growth-plan is a skill published in the GitHub repository aronhy/tiktok-agent-skills (152 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,214 once invoked, about $0.0002 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 2026-08-30.
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