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Uplo Environmental
作者
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
151
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install uplo-environmental
功能描述
AI-powered environmental knowledge management. Search impact assessments, compliance monitoring data, sustainability reports, and environmental permits with...
安全使用建议
This skill is designed to connect your agent to an UPLO/MCP knowledge instance and that requires providing an instance URL and a sensitive API key. Before installing: (1) confirm the skill source and owner (the registry metadata lacks a homepage and the owner ID is opaque); (2) verify the npm package @agentdocs1/mcp-server (review its repository, versions, and recent changes) because the agent will run it via npx; (3) ensure the agentdocs_url points to a trusted, internal UPLO instance (not a third‑party or unfamiliar host); (4) treat the API key as highly sensitive — limit its scope and rotate it if used for testing; (5) consider running the skill in a sandboxed environment or with restricted network access first; and (6) resolve the metadata mismatch (registry claims no required credentials while skill.json requires them) with the publisher before granting production access. If you cannot validate the package and endpoint, do not provide your organizational API key.
功能分析
Type: OpenClaw Skill
Name: uplo-environmental
Version: 1.0.0
The skill bundle is a legitimate integration for the UPLO environmental knowledge management platform. It facilitates access to environmental compliance and sustainability data using standard Model Context Protocol (MCP) patterns, specifically utilizing the '@agentdocs1/mcp-server' package via npx. The instructions in SKILL.md and identity-patch.md are well-aligned with the stated purpose, emphasizing data classification, regulatory accuracy, and institutional memory without any signs of malicious intent or harmful prompt injection.
能力评估
Purpose & Capability
The SKILL.md and README clearly describe an integration with an UPLO/MCP server and imply the need for an instance URL and API key. The included skill.json indeed declares config.agentdocs_url and config.api_key as required. However, the registry summary at the top lists no required env vars or primary credential — a direct mismatch. Requiring an endpoint URL and API token is coherent with the described purpose, but the metadata inconsistency is concerning and may indicate incomplete packaging or a metadata extraction error.
Instruction Scope
SKILL.md instructs the agent to load identity context and to call MCP tools (get_identity_context, search_knowledge, search_with_context, etc.). Those actions are coherent for a knowledge-base skill. Be aware that 'get_identity_context' will load agent identity/authorization context and queries will transmit user queries and extracted document content to the configured UPLO endpoint — expected for this integration but sensitive if the endpoint is external or untrusted.
Install Mechanism
This is an instruction-only skill (no code files), but skill.json / README direct the agent to run an MCP server via npx @agentdocs1/mcp-server --http. Using npx will fetch and execute code from the npm registry at runtime. That is a common pattern but carries moderate risk relative to a self-contained, vetted binary: it executes third-party code dynamically. There is no offline install spec or pinned release URL in the package; verify the npm package source and integrity before allowing execution.
Credentials
The skill requires an agentdocs_url and an API key (sensitive secret) to function, which matches the purpose of contacting an organization-specific UPLO instance. However, the registry's declared requirements omitted these, creating a mismatch. The API key gives the skill access to organizational environmental data via the remote MCP endpoint — this is proportionate for the described capability but is high-sensitivity access and should only be granted to a trusted endpoint and vetted package.
Persistence & Privilege
The skill does not request always: true and does not claim to modify other skills or system-wide settings. It is invocable by the user and can be invoked autonomously by the agent (platform default). No elevated or persistent system privileges are requested in the provided files.
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-environmental - 安装完成后，直接呼叫该 Skill 的名称或使用
/uplo-environmental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 of the uplo-environmental skill for AI-powered environmental knowledge management.
- Enables structured search and extraction from impact assessments, compliance data, sustainability reports, and environmental permits.
- Introduces key tools: search_with_context, search_knowledge, get_directives, report_knowledge_gap, and flag_outdated.
- Provides example workflows for permit renewal and carbon footprint reduction planning.
- Includes operational tips for handling temporal data, compliance status, and access-restricted records.
元数据
常见问题
Uplo Environmental 是什么？
AI-powered environmental knowledge management. Search impact assessments, compliance monitoring data, sustainability reports, and environmental permits with... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 151 次。
如何安装 Uplo Environmental？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install uplo-environmental」即可一键安装，无需额外配置。
Uplo Environmental 是免费的吗？
是的，Uplo Environmental 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Uplo Environmental 支持哪些平台？
Uplo Environmental 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 Environmental？
由 RooJenkins（@roojenkins）开发并维护，当前版本 v1.0.0。
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