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在 OpenClaw 中安装
/install tiktok-trendslayer
功能描述
“TikTok Shop Full-stack analytics and operations toolkit for cross-border sellers. From data fetching to daily operations — seven workflows covering the enti...
安全使用建议
This skill appears to do what it says: it calls EchoTik and (optionally) TikTok Shop APIs and writes reports to a local output directory. Before installing or running it:
- Verify the publisher/source: check the referenced GitHub repo (SKILL.md lists a repo URL) and inspect the files there to confirm authenticity. The package's top-level registry metadata omitted required env vars — confirm the repo and packager.
- Treat credentials as sensitive: only provide ECHOTIK_AUTH_HEADER and TikTok tokens that are least-privileged or short-lived. Do not paste long-lived master secrets into an environment used for other things.
- Review network endpoints: the script calls https://open.echotik.live and https://api.tiktokshop.com. If you do not trust those endpoints or the third-party EchoTik service, do not provide credentials.
- Run in a sandbox/isolated environment first: execute the script with dummy or read-only credentials and inspect created output files before granting real credentials.
- Inspect outputs: reports include raw API JSON responses; they may contain PII or business-sensitive data. Do not publish outputs without review.
- If you are concerned about automatic runs, restrict agent autonomy (prevent background/autonomous invocation) or set up monitoring and rotate tokens after use.
If you want, I can: (1) fetch and summarize the GitHub repo contents, (2) point out exact lines where credentials are used, or (3) suggest a minimal test command that uses no real credentials so you can validate behavior safely.
功能分析
Type: OpenClaw Skill
Name: tiktok-trendslayer
Version: 1.1.4
The TikTok Trend Slayer skill bundle is a legitimate analytics toolkit designed to fetch and process influencer and product data from EchoTik and TikTok Shop APIs. The core logic is contained in a transparent bash script (tiktok_slayer.sh) that uses curl and jq to interact with official endpoints, and the documentation (SKILL.md, workflows.md) provides clear, task-aligned instructions for the AI agent without any evidence of malicious prompt injection, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name/description, the bundled shell script, and SKILL.md all describe fetching influencer data from EchoTik and optional product data from TikTok Shop. The required credentials (ECHOTIK_AUTH_HEADER, optional TIKTOK_SHOP_API_KEY) and dependencies (curl, jq) are appropriate and expected for this functionality. Note: the registry summary at the top of the package listing claimed "Required env vars: none" which contradicts the SKILL.md and script that do require ECHOTIK_AUTH_HEADER (and optionally TIKTOK_SHOP_API_KEY). This appears to be a packaging/metadata inconsistency, not an indication of unrelated privileges.
Instruction Scope
Runtime instructions tell the agent to set auth env vars, run the included script, and read/write report files in the skill output directory. The script only performs HTTP GETs to two expected APIs, validates JSON, and writes reports. It does not attempt to read unrelated system files or other credentials. Workflows reference generating PDF/Excel using standard libraries—these are recommendations rather than automatic remote steps.
Install Mechanism
No install spec; the skill is instruction-only with a bundled shell script. No remote downloads or archive extraction are performed by the skill itself. Risk is limited to executing the included shell script locally (standard low-risk distribution model for CLI tools).
Credentials
The script requires a single service credential (ECHOTIK_AUTH_HEADER) and optionally TIKTOK_SHOP_API_KEY for product data — both are justified by the described API calls. The only proportionality issue is the metadata mismatch: registry-level fields claim no required env vars while SKILL.md declares required envs. Also note the script expects a Basic auth header containing base64(user:pass) — treat this as sensitive and provide least-privilege credentials or short-lived tokens.
Persistence & Privilege
Flags: always=false, user-invocable=true, disable-model-invocation=false (default). The skill does not request permanent platform-wide presence or modify other skills/configs. Autonomous invocation is enabled by default (normal), so consider this if you allow the agent to run skills without prompts, but it is not itself a discrepancy.
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-trendslayer - 安装完成后，直接呼叫该 Skill 的名称或使用
/tiktok-trendslayer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
v1.1.4
- Updated name/description to clarify focus on influencer analytics, product selection, and content strategy.
- Improved Quick Start and argument documentation for clarity; distinguished between required and optional API keys.
- Simplified workflow sections, highlighting four main workflows and streamlining outputs.
- Output formats and script argument explanations are more concise.
- Example commands and process explanations are updated for accuracy and ease of use.
- General documentation is now shorter and more beginner-friendly.
v1.1.3
- The SKILL.md content remains unchanged from the previous version.
v1.1.2
Version 1.0.11 of tiktok-trendslayer
- All core functionality, workflows, and setup remain unchanged.
v1.0.10
No user-facing changes in this version.
- No modifications detected since the previous release.
- Functionality, documentation, and configuration remain unchanged.
v1.0.9
**Major update with expanded workflows and improved documentation:**
- Added `references/workflows.md` detailing the seven end-to-end operational workflows.
- Expanded SKILL.md with full English & Chinese descriptions, comprehensive feature list, and new output formats.
- Introduced new script arguments (region, format, output-dir, mode) and clarified API credential setup.
- Documented usage for all core workflow triggers and corresponding outputs.
- Updated metadata and organized environment/configuration requirements for easier onboarding.
v1.0.8
- **Documentation streamlined:** The "references/workflows.md" file was removed for simplicity.
- Skill overview and instructions are now more concise and focused on core usage.
- Environment variables and dependencies are clearly listed.
- Quick usage examples have been expanded for new users.
- Advanced background, workflow breakdowns, and extended API instructions were trimmed or referenced for brevity.
- Documentation now primarily in Chinese with key usage guidance and less narrative explanation.
v1.0.7
- Documentation streamlined by removing duplicated information and consolidating workflow descriptions.
- Section titles simplified and clarified (e.g., "7 Core Workflows" to "Core Workflows").
- Detailed workflow descriptions retained but redundant initial summary was trimmed.
- No changes to code or functionality; update is documentation-only.
v1.0.6
- Shortened description and documentation to remove redundancy and reduce length.
- Simplified Chinese product summary for better focus and clarity.
v1.0.5
**Expanded from influencer analytics/product selection to a full-stack TikTok Shop operations toolkit for cross-border sellers**
- NEW: Adds support for competitive intelligence reports, profit/margin calculators, and daily/weekly operations briefs.
- Expanded coverage: Now explicitly covers 7 workflows, including daily operations, competitive monitoring, and profit analysis.
- Broader triggers: Supports queries on competitive intel (竞品动态), profit margin (利润计算), and daily operations (运营日报), in addition to selection and collaboration.
- Output: Confirms support for MD, JSON, PDF, and Excel formats for all workflows.
- Documentation: Streamlined quickstart and restructured feature/workflow list for clarity.
v1.0.4
- Updated the skill name in the manifest from "tiktok-trend-slayer" (with a typo) to "tiktok-trend-slayer" for consistency.
- Cleaned up and shortened the description in metadata, removing trigger/action keywords and keeping a concise summary.
- No changes to features, code, or primary workflows; all functional capabilities remain the same.
- No file or code modifications detected in this version.
v1.0.3
tiktok-trendslayer v1.0.3
- Updated skill tags in documentation for improved discoverability.
- Minor changes to long description: cleaned up and expanded tags, with no changes to code or functionality.
- No file changes detected; update limited to documentation metadata and frontmatter.
v1.0.2
- Now requires TIKTOK_SHOP_API_KEY as a mandatory environment variable, instead of optional.
- Updated skill metadata to reflect the new required environment setup.
- No other notable functional changes; documentation and user instructions remain consistent.
v0.1.13
**Expanded data source support and new product trend analysis features:**
- Added optional support for fetching product trending data via TikTok Shop Partner API, alongside existing influencer analytics.
- New `--mode` script argument to switch between influencers, products, or both data types.
- Requires new optional environment variable: `TIKTOK_SHOP_API_KEY` (in addition to existing EchoTik credentials) for product data.
- Quick Start and usage instructions updated for new data sources and script options.
- Now reports missing credentials gracefully and guides users on enabling product data features.
- Metadata and configuration sections updated for enhanced environment variable management.
v0.1.12
- Added a new reference file: `references/workflows.md`, detailing advanced workflows for post-processing TikTok data into actionable reports and plans.
- Expanded SKILL.md with advanced use cases, including multi-region analysis, influencer collaboration plans, product selection lists, and video hook/content strategy workflows.
- Clarified and organized script arguments, now supporting multi-region input, adjustable output directory, and customizable result page size.
- Documented new output formats (MD, JSON, PDF, Excel) and typical generation methods for each.
- Refined project description and quick start guide to better communicate all supported analysis/reporting capabilities.
v0.1.11
- Fixed a typo in the skill name from "tiktok-trend-slayer" to "tiktok-trend-slayer" for consistency.
- No functional changes or new features introduced in this version.
- Documentation and usage remain unchanged.
v0.1.10
- Fixed the skill name to "tiktok-trend-slayer" for consistency.
- Added Markdown code block formatting around some documentation sections in the readme.
- No changes to functionality or feature set.
- Documentation changes only; users do not need to upgrade for new features.
v0.1.9
- Removed README.md and _meta.json for a leaner repository.
- Major SKILL.md rewrite: now fully bilingual (Chinese/English) and reorganized for clarity.
- Updated environment variable—now only requires ECHOTIK_AUTH_HEADER for EchoTik API access.
- Expanded documentation: clearer usage instructions, sample commands, argument table, and output details.
- Added concise summaries for core features and introduced quick start and scheduling guides.
- Clarified category mapping and improved output/report format explanations.
v0.1.8
TikTok Trend Slayer 0.1.8 introduces clearer value propositions and improved usage guidance:
- 重写项目介绍，突出差异化卖点、目标用户价值和使用场景。
- 增加“核心功能概述”，描述黑马商品识别与达人撮合等关键算法机制。
- 新增“指令示例”部分，举例典型分析与达人匹配请求语句。
- 提供 API 申请渠道和所需密钥说明，便于新手接入。
- 细化 shell 命令路径，规范使用方式与输出格式说明。
v0.1.7
tiktok-trendslayer version 0.1.7
- Migrated skill metadata from skill.yaml to _meta.json for improved metadata management.
- Updated SKILL.md: simplified language, streamlined instructions, condensed feature overview, and removed redundant or setup-heavy sections.
- Clarified API/environment variable requirements.
- Enhanced usage documentation with more concise and clear manual and scheduled execution steps.
v0.1.6
- 修正技能目录和命令路径中的主目录由 ~/.qclaw/ 更新为 ~/.openclaw/，以适配新的环境。
- 补充和优化 description 字段表述，增加了括号中的环境变量提示。
- 其他内容与结构未变，无新功能。
元数据
常见问题
Tiktok Trend Slayer 是什么？
“TikTok Shop Full-stack analytics and operations toolkit for cross-border sellers. From data fetching to daily operations — seven workflows covering the enti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 279 次。
如何安装 Tiktok Trend Slayer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tiktok-trendslayer」即可一键安装，无需额外配置。
Tiktok Trend Slayer 是免费的吗？
是的，Tiktok Trend Slayer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tiktok Trend Slayer 支持哪些平台？
Tiktok Trend Slayer 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 Trend Slayer？
由 skovely（@skovely）开发并维护，当前版本 v1.1.4。
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