← 返回 Skills 市场
gnview

Gnview Kit

作者 gnview · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
106
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install gnview-kit
功能描述
抖音数据分析工具集，包含视频数据分析、用户画像分析、趋势统计等完整分析能力。适用于抖音数据深度挖掘和报告生成场景。
使用说明 (SKILL.md)

\r \r

gnview-kit\r

\r

功能概述\r

本技能集为抖音视频数据分析与飞书多维表格同步的完整解决方案，核心能力包括：\r

  • 抖音视频元数据获取与下载\r
  • 抖音视频脚本/字幕提取与分析\r
  • 飞书多维表格数据校验与写入\r
  • 分析结果云文档关联与同步\r \r

核心流程\r

  1. 环境校验：验证飞书多维表格权限与依赖服务状态\r
  2. 数据采集：通过关联技能获取抖音视频元数据、下载视频、提取脚本内容\r
  3. 数据处理：标准化分析结果，生成结构化数据\r
  4. 同步写入：将处理后的数据写入目标飞书多维表格\r
  5. 文档关联：生成并关联飞书云文档存储详细分析内容\r \r

配置说明\r

所有配置项均统一存放在技能目录下的config.json文件中，需在使用前完成配置：\r \r | 配置项路径 | 类型 | 示例值 | 说明 |\r |--------------------------------|--------|----------------------------------------------------------------------|--------------------------|\r | global.bitable.base | 字符串 | https://feishu.cn/base/xxx | 飞书多维表格基础URL |\r | global.bitable.table | 字符串 | tblsh3nGcKBMbb4G | 目标数据表ID |\r | global.download.path | 字符串 | ./download | 视频文件下载保存路径 |\r | global.download.name | 字符串 | $aweme_id.mp4 | 下载文件名模板（支持$aweme_id变量） |\r \r

关联技能\r

  • gnview-douyin-video-download\r
  • gnview-script-extraction\r
  • gnview-api-downloader\r \r

数据字段规范\r

写入多维表格的标准字段如下：\r | 字段名称 | 字段类型 | 示例值 | 说明 |\r |------------------|----------|----------------------------------------------------------------------|--------------------------|\r | 视频原链接 | 文本 | https://www.douyin.com/video/7615937081646272185 | 原始抖音视频地址 |\r | 视频ID | 文本 | 7615937081646272185 | 抖音视频唯一标识 |\r | 抖音号 | 文本 | unique_id(抖音号) | 视频发布者抖音号 |\r | 发布时间 | 日期 | 1712345678000 | 视频发布时间戳 |\r | 视频标题 | 文本 | 抖音视频分析教程 | 视频标题内容 |\r | 下载链接 | 超链接 | http://xxx/api/download?url=https://www.douyin.com/video/7615937081646272185 | 带下载前缀的视频地址 |\r | 分析文档链接 | 超链接 | https://feishu.cn/docx/[doc_id] | 存储详细分析结果的飞书文档 |\r \r \r

注意事项\r

  1. 确保目标飞书多维表格已配置正确的写入权限\r
  2. 依赖的关联技能（gnview-api-downloader）需提前完成配置\r
  3. 所有API调用需遵守抖音开放平台的限流规则，建议添加重试与延迟机制\r
  4. 批量处理时建议添加分页逻辑，避免触发飞书API频率限制\r
  5. 敏感配置信息（如API密钥）请勿直接提交至代码仓库，使用环境变量或加密存储
安全使用建议
This skill claims to perform Douyin (抖音) data analysis and write results to Feishu, which is plausible from the README. But it relies on other unnamed/undistributed 'associated skills' and references an ARK_API_KEY in config.json even though the registry lists no required environment variables. Before installing or providing secrets: 1) Ask the publisher for the source code or links to the referenced associated skills (gnview-douyin-video-download, gnview-script-extraction, gnview-api-downloader) so you can inspect what they do and what credentials they need. 2) Do not provide broad credentials (e.g., full Feishu admin keys, AWS keys) until you confirm minimum required scopes; prefer a least-privilege API token for Feishu. 3) Verify what 'ARK_API_KEY' is and who runs that service (its domain/operator) — avoid sending secrets to unknown third parties. 4) Test in a sandbox account (a throwaway Feishu space) before using production data. 5) If you must use it, supply credentials via environment variables or a secrets manager and rotate them after testing. These steps will reduce the risk posed by the undocumented, external dependencies and hidden credential expectations.
功能分析
Type: OpenClaw Skill Name: gnview-kit Version: 1.0.1 The gnview-kit skill bundle provides a structured workflow for an AI agent to collect Douyin video metadata and synchronize analysis results to Feishu (Lark) Bitables. The provided files (SKILL.md, config.json, and _meta.json) contain legitimate operational instructions and configuration placeholders consistent with the stated purpose, with no evidence of malicious intent, data exfiltration, or prompt injection.
能力评估
ℹ Purpose & Capability
The name/description (抖音数据分析与飞书写入) align with the SKILL.md workflow (collect, analyze, write to Feishu). However the skill relies on several external '关联技能' (gnview-douyin-video-download, gnview-script-extraction, gnview-api-downloader) that are not included or declared as dependencies in the registry metadata; that makes the actual runtime capability dependent on other (unseen) components.
ℹ Instruction Scope
SKILL.md instructs the agent to read the skill-local config.json and to call associated downloader/extraction skills and Feishu APIs; it does not instruct reading unrelated system files. But it delegates network calls and credential handling to other skills (not present), which expands scope implicitly. The doc advises storing API keys in env vars (good practice) but does not enumerate which env vars are required at install time.
✓ Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk by an installer. This is lower risk from an install mechanism perspective.
⚠ Credentials
Registry metadata declares no required env vars, but config.json includes a reference to ARK_API_KEY and a downloader-api base_url; SKILL.md also references needing API keys for Feishu and other services. The skill therefore omits declaring credentials it clearly expects to use. The mismatch between 'no env vars required' and the config.json/README expectations is an incoherence and increases risk (hidden credential requirements).
✓ Persistence & Privilege
The skill is not set to always:true and does not request persistent/system-wide configuration changes in its instructions. It is user-invocable and allows model invocation (the normal default).
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install gnview-kit
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /gnview-kit 触发
  4. 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
v1.0.1
- 技能包更名为 gnview-kit（原名 gnview-analyzer） - 飞书表格基础URL及下载链接模板中的示例占位符内容已通用化/脱敏 - 其余功能和接口保持不变
v1.0.0
Initial release of gnview-analyzer skill: - Provides a toolkit for comprehensive Douyin (TikTok China) data analysis, including video analytics, user profiling, and trend statistics. - Integrates with Feishu Bitable for real-time data synchronization and detailed report generation. - Supports metadata retrieval, video/script extraction, data validation, and document association workflows. - Centralizes configuration in a single config.json file for easier setup. - Defines a standard data schema for Bitable integration and outlines best practices for permissions and API usage.
元数据
Slug gnview-kit
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Gnview Kit 是什么？

抖音数据分析工具集，包含视频数据分析、用户画像分析、趋势统计等完整分析能力。适用于抖音数据深度挖掘和报告生成场景。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 106 次。

如何安装 Gnview Kit？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install gnview-kit」即可一键安装，无需额外配置。

Gnview Kit 是免费的吗？

是的，Gnview Kit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Gnview Kit 支持哪些平台？

Gnview Kit 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 Gnview Kit？

由 gnview（@gnview）开发并维护，当前版本 v1.0.1。

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论