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Uplo Hospitality
作者
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
183
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install uplo-hospitality
功能描述
AI-powered hospitality knowledge management. Search guest service standards, property procedures, F&B operations, and event planning documentation with struc...
安全使用建议
This skill appears to do what it claims (connect to a UPLO hospitality knowledge service), but take these precautions before installing: 1) Verify the publisher and the UPLO instance URL (agentdocs_url) — only point to a trusted, internal/official instance. 2) Review the npm package @agentdocs1/mcp-server (publisher, version, and source) if your agent will run npx to fetch it; prefer pinned, audited releases. 3) Provide an API key with the minimum necessary scope and rotate/revoke it after testing. 4) Be aware export_org_context and log_conversation will transmit potentially sensitive organizational data—test on non-production data first and confirm retention/usage policies with the provider. 5) Resolve the metadata mismatch (registry showing no required env vars vs skill.json requiring config) before provisioning credentials so you know exactly what will be sent to the service.
功能分析
Type: OpenClaw Skill
Name: uplo-hospitality
Version: 1.0.0
The skill bundle is a legitimate integration for the UPLO hospitality knowledge management platform, designed to provide AI agents with access to hotel SOPs, F&B operations, and guest service standards. The tools provided (e.g., `search_knowledge`, `export_org_context`) and the instructions in SKILL.md and identity-patch.md are consistent with the stated purpose of organizational intelligence. While it uses `npx` to execute a remote MCP server package (@agentdocs1/mcp-server), this is a standard deployment pattern for this ecosystem and lacks any indicators of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The SKILL.md, README, and skill.json consistently describe a knowledge-search/GraphRAG service for hospitality and the declared MCP capabilities (search_knowledge, search_with_context, export_org_context, get_directives, etc.) align with that purpose. However, the registry summary at the top said 'Required env vars: none' while skill.json declares two required config fields (agentdocs_url and api_key). This metadata mismatch is noteworthy and could confuse deployers about what secrets will actually be needed.
Instruction Scope
The runtime instructions are scoped to querying the UPLO knowledge base and related actions (search, export, find owner, log conversation). These map to the skill purpose. Important caveats: export_org_context can return an entire organizational blueprint and log_conversation sends summaries (possibly sensitive) to the service — both are legitimate for a knowledge-management skill but are high-sensitivity actions. SKILL.md does not instruct the agent to read local files or unrelated system data, which is good.
Install Mechanism
Although the registry lists 'instruction-only', the README and skill.json indicate the MCP runtime will be launched via npx @agentdocs1/mcp-server --http. That implies the agent will fetch and run code from npm at runtime. The skill package @agentdocs1/mcp-server is not a well-known, pre-reviewed system download in this context and will execute code fetched from the public registry. This is standard for MCP-style skills but increases risk: verify the npm package publisher and package contents before allowing runtime installs.
Credentials
skill.json requires agentdocs_url and api_key (MCP token) which are appropriate for connecting to an external UPLO instance; these are proportionate to the stated functionality. However the registry metadata claimed no required env vars — a mismatch. Also, the api_key will grant the skill access to potentially large amounts of proprietary org data (including exports and directives), so ensure the token's scope is limited and you trust the UPLO endpoint before providing credentials.
Persistence & Privilege
The skill is not marked always:true and uses the default of allowing autonomous invocation (normal). The skill does not request system-wide config modification or access to other skills' credentials. Its MCP transport is HTTP to the configured UPLO instance, which is expected for a remote knowledge service.
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 uplo-hospitality - 安装完成后，直接呼叫该 Skill 的名称或使用
/uplo-hospitality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
uplo-hospitality 1.0.0
- Initial release of UPLO Hospitality knowledge management skill.
- Enables search across guest service standards, property SOPs, F&B operations, and event planning docs with structured extraction.
- Supports property-specific documentation access via identity context.
- Includes tools for knowledge search, contextual queries, organizational export, and logging of operational decisions.
- Provides hospitality-focused usage examples and workflow tips.
元数据
常见问题
Uplo Hospitality 是什么？
AI-powered hospitality knowledge management. Search guest service standards, property procedures, F&B operations, and event planning documentation with struc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 183 次。
如何安装 Uplo Hospitality？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install uplo-hospitality」即可一键安装，无需额外配置。
Uplo Hospitality 是免费的吗？
是的，Uplo Hospitality 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Uplo Hospitality 支持哪些平台？
Uplo Hospitality 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 Uplo Hospitality？
由 RooJenkins（@roojenkins）开发并维护，当前版本 v1.0.0。
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