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OpenClaw飞书问题排查

作者 chenfa188 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
137
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当前安装
1
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在 OpenClaw 中安装
/install openclaw-feishu-troubleshoot
功能描述
飞书插件问题排查工具。包含常见问题 FAQ 和深度诊断命令(/feishu_doctor)。 常见问题可随时查阅。诊断命令用于排查复杂问题(多次授权仍失败、自动授权无法解决等), 会检查账户配置、API 连通性、应用权限、用户授权状态,并生成详细的诊断报告和解决方案。
安全使用建议
Don't install or run this skill until the author clarifies how diagnostics are performed and where credentials come from. Key questions to ask the publisher: (1) Where is the code that performs the API checks? Provide a source link. (2) Does this rely on a platform-managed Feishu connector or will it ask you to paste appId/appSecret or user tokens? If it asks for secrets, refuse to paste them in chat; provide credentials only via a secure platform credential store. (3) Request explicit list of data accessed and retention policy (are any tokens or logs stored/exported?). If you must use it, test in a non-production tenant with minimal privileges and avoid sharing real secrets. Prefer skills that declare required env vars/credentials and publish their implementation/source.
功能分析
Type: OpenClaw Skill Name: openclaw-feishu-troubleshoot Version: 1.0.0 The skill bundle contains metadata and documentation for a Feishu (Lark) troubleshooting tool. The SKILL.md file outlines FAQ and a diagnostic command (/feishu doctor) designed to verify API connectivity, application permissions, and credential status. No executable code was provided, and the instructions in SKILL.md are consistent with legitimate administrative diagnostics without any evidence of data exfiltration or malicious intent.
能力评估
Purpose & Capability
The name/description (Feishu troubleshooting) matches the SKILL.md content, but the documented capabilities (checking appId/appSecret, API connectivity, bot openId, user tokens/offline_access) imply access to credentials or platform APIs. The skill declares no credentials, no required binaries, and no install — there is a capability/requirements mismatch.
Instruction Scope
The SKILL.md describes a runtime diagnostic ('/feishu doctor') that will inspect sensitive items (appId/appSecret masked, token refresh state, connectivity). The instructions do not explain how the agent obtains the credentials or performs API calls, nor do they explicitly avoid asking the user to paste secrets. That vagueness grants the agent broad discretion and could lead to sensitive data exposure if implemented poorly.
Install Mechanism
There is no install spec and no code files (instruction-only), so nothing is written to disk and no external packages are fetched — low install risk.
Credentials
The diagnostic claims require access to app credentials, tokens, and user auth states, but the skill declares no required environment variables or primary credential. Either the skill is relying on an implicit platform-integrated Feishu connector (not documented), or it would require asking for secrets at runtime — both should be explicit. The lack of declared secrets is disproportionate to the claimed checks.
Persistence & Privilege
The skill is not marked always:true and is user-invocable. It does not request persistent system presence or modify other skills; autonomy (model invocation) remains default and is not by itself a red flag here.
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 openclaw-feishu-troubleshoot
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-feishu-troubleshoot 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
v1.0.0
Initial publish
元数据
Slug openclaw-feishu-troubleshoot
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

OpenClaw飞书问题排查 是什么?

飞书插件问题排查工具。包含常见问题 FAQ 和深度诊断命令(/feishu_doctor)。 常见问题可随时查阅。诊断命令用于排查复杂问题(多次授权仍失败、自动授权无法解决等), 会检查账户配置、API 连通性、应用权限、用户授权状态,并生成详细的诊断报告和解决方案。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 137 次。

如何安装 OpenClaw飞书问题排查?

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

OpenClaw飞书问题排查 是免费的吗?

是的,OpenClaw飞书问题排查 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

OpenClaw飞书问题排查 支持哪些平台?

OpenClaw飞书问题排查 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 OpenClaw飞书问题排查?

由 chenfa188(@chenfa188)开发并维护,当前版本 v1.0.0。

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