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在 OpenClaw 中安装
/install tiktok-influencer-tracker
功能描述
TikTok creator/influencer management, sample tracking, and fulfillment analytics agent. Manage creator relationships, track sample shipments, analyze influen...
安全使用建议
This skill is essentially documentation and templates for running a TikTok creator program and does not request credentials or install code — low technical risk. Before using: (1) Do not paste private credentials or platform tokens into prompts; the skill does not need them. (2) If you plan to integrate this with real systems (shipping carriers, TikTok APIs, affiliate platforms), expect to add connectors that will request credentials — review those connectors separately. (3) Be mindful of privacy when storing creator personal data (addresses, tracking numbers) and follow applicable laws/terms of service. (4) If your agent runtime respects 'allowed-tools: Bash', avoid executing arbitrary shell commands from this skill unless you review them first.
功能分析
Type: OpenClaw Skill
Name: tiktok-influencer-tracker
Version: 1.0.0
The tiktok-influencer-tracker skill is a legitimate tool designed for managing TikTok creator relationships and performance analytics. While it requests 'Bash' permissions, the instructions in SKILL.md are strictly focused on managing a local workspace (~/creator-management/) for tracking samples, outreach, and commissions, with no evidence of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
The name/description (TikTok influencer management, sample tracking, analytics) align with the content in SKILL.md (templates, fit-score, tracking tables, workflows). There are no unrelated credentials, binaries, or config paths requested that would be out of scope.
Instruction Scope
SKILL.md is purely procedural: templates, scoring formulas, timelines and example CLI-like commands. It does not instruct reading system files, accessing environment variables, or calling external endpoints. Note: the file header lists 'allowed-tools: Bash' which could permit the agent to run shell commands if the runtime honors it — but the document itself contains no concrete shell steps that access sensitive system state.
Install Mechanism
No install spec and no code files — nothing is downloaded or written to disk. This is the lowest-risk category for install behavior.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That matches the SKILL.md content, which uses only user-provided creator/shipment/performance data.
Persistence & Privilege
always is false, the skill does not request permanent presence or system-wide configuration changes. There is no instruction to modify other skills or system settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tiktok-influencer-tracker - 安装完成后，直接呼叫该 Skill 的名称或使用
/tiktok-influencer-tracker触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — manage TikTok creator/influencer programs end-to-end.
- Add, analyze, and rank creators by fit score and performance.
- Track sample shipments, monitor outreach, and manage all logistics.
- Log and analyze each creator’s content performance and commissions.
- Generate outreach messages and manage template history.
- Output program dashboards, leaderboards, and detailed performance reports.
- Organize all data in workspace folders for creator management, samples, content, outreach, and reports.
元数据
常见问题
Tiktok Influencer Tracker 是什么？
TikTok creator/influencer management, sample tracking, and fulfillment analytics agent. Manage creator relationships, track sample shipments, analyze influen... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 154 次。
如何安装 Tiktok Influencer Tracker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tiktok-influencer-tracker」即可一键安装，无需额外配置。
Tiktok Influencer Tracker 是免费的吗？
是的，Tiktok Influencer Tracker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tiktok Influencer Tracker 支持哪些平台？
Tiktok Influencer Tracker 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Tiktok Influencer Tracker？
由 mguozhen（@mguozhen）开发并维护，当前版本 v1.0.0。
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