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Uplo Agriculture
作者
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
245
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install uplo-agriculture
功能描述
AI-powered agricultural knowledge management. Search crop management records, livestock data, compliance documentation, and sustainability reports with struc...
安全使用建议
This skill appears to be a UPLO connector (searching your organization's agriculture knowledge) and that purpose explains the need for an endpoint URL and API key. However, the registry metadata omitted those requirements while skill.json requires them and the README/SKILL.md expect an MCP server launched via npx. Before installing or enabling this skill: 1) Confirm the agentdocs_url is a trusted UPLO endpoint and limit the API key scope/permissions. 2) Inspect or verify the npm package '@agentdocs1/mcp-server' (publisher, versions, audit) since the platform will run it via npx. 3) Understand that 'log_conversation' will send conversation summaries to the UPLO instance—decide what data may be logged and ensure classification/consent. 4) Prefer running the MCP server in an isolated environment or test tenant first. If possible, ask the skill author to (a) update registry metadata to list required config/env vars, (b) document exactly what is transmitted during log_conversation, and (c) pin the MCP package to a specific trusted version.
功能分析
Type: OpenClaw Skill
Name: uplo-agriculture
Version: 1.0.0
The uplo-agriculture skill is a standard implementation of a Model Context Protocol (MCP) server designed for agricultural knowledge management. It facilitates searching and retrieving organizational data from a UPLO instance using tools like 'search_knowledge' and 'search_with_context'. The configuration in skill.json and the instructions in SKILL.md and identity-patch.md are consistent with its stated purpose, and no indicators of malicious intent, data exfiltration, or unauthorized execution were found.
能力评估
Purpose & Capability
The declared purpose (connect to UPLO to search agricultural knowledge) matches the behavior in SKILL.md and README. However, the registry metadata lists no required credentials or env vars while skill.json defines two required config fields (agentdocs_url and api_key) that are necessary to connect to an external UPLO MCP server. That mismatch is incoherent: a connector like this legitimately needs an API endpoint and token, but the registry presentation omitted them.
Instruction Scope
SKILL.md limits runtime actions to mcporter calls (search_knowledge, search_with_context, export_org_context, log_conversation). Those are consistent with a knowledge-base connector. However, SKILL.md does not document the required API credentials or explicitly warn that log_conversation will transmit conversation summaries to the configured UPLO instance. This means user data (conversation summaries, topics, tools_used) will be sent to an external service—expected for this connector but worth explicit notice.
Install Mechanism
The registry lists no install spec (instruction-only), but skill.json contains an mcp stanza that runs 'npx -y @agentdocs1/mcp-server --http' with envs derived from the skill config. That implies the platform will fetch/execute an npm package at runtime. Fetching and executing code via npx from npm is a moderate-risk install path and should be validated (package origin, maintainer, version). The README similarly suggests configuring an MCP server via npx, so the effective install is not purely 'instruction-only'.
Credentials
The skill.json requires agentdocs_url and api_key (a secret) which are proportionate for a connector to an external UPLO instance. The problem is the registry-level requirements list none, and SKILL.md doesn't call out how to supply those creds. Users should be aware the skill needs a token that grants access to their organization's UPLO data; that token will be used by the MCP server process and will be transmitted to/run by the agent runtime.
Persistence & Privilege
always is false and the skill does not request system-level persistence. The skill can be invoked autonomously by the agent (platform default), which is normal. Note: because the skill runs an external MCP server process (via npx) and uses an external API_KEY, autonomous invocation combined with those external credentials increases the impact of any misuse—so validate the MCP package and restrict the API key scope.
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-agriculture - 安装完成后，直接呼叫该 Skill 的名称或使用
/uplo-agriculture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 uplo-agriculture:
- AI-powered agricultural knowledge management skill
- Search crop management records, livestock data, compliance docs, and sustainability reports
- Structured extraction and querying tools for agriculture domain expertise
- Session management: organizational context fetching and conversation logging
- Guidance on when and how to use knowledge search and compliance features
- Emphasis on source citation and respecting data classification
元数据
常见问题
Uplo Agriculture 是什么？
AI-powered agricultural knowledge management. Search crop management records, livestock data, compliance documentation, and sustainability reports with struc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 245 次。
如何安装 Uplo Agriculture？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install uplo-agriculture」即可一键安装，无需额外配置。
Uplo Agriculture 是免费的吗？
是的，Uplo Agriculture 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Uplo Agriculture 支持哪些平台？
Uplo Agriculture 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 Agriculture？
由 RooJenkins（@roojenkins）开发并维护，当前版本 v1.0.0。
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