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Uplo Clinical
作者
RooJenkins
· GitHub ↗
· v1.0.0
· MIT-0
247
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install uplo-clinical
功能描述
AI-powered clinical operations intelligence spanning pharmaceutical development and healthcare delivery. Unified search across clinical trials, protocols, an...
安全使用建议
Before installing: (1) Note the inconsistency — the registry lists no required credentials but skill.json/README require a UPLO URL and an API key; confirm this is intentional and request updated metadata. (2) Treat the API key as sensitive: provision a scoped, least-privilege token (preferably for a non-production/sandbox instance) and confirm logging/audit locations and retention policies. (3) Verify the npm package '@agentdocs1/mcp-server' publisher and integrity before running npx (npm packages execute code during install/run). (4) Confirm organizational compliance (HIPAA/GxP) for sending identity context and clinical data to the configured UPLO instance and ensure classification tiers are enforced by the instance. (5) If you lack confidence in the publisher or need tighter control, run the MCP server in a sandbox environment and inspect network traffic and logs first. If the author cannot reconcile the metadata mismatch or provide provenance for the npx package, treat the skill as risky.
功能分析
Type: OpenClaw Skill
Name: uplo-clinical
Version: 1.0.0
The uplo-clinical skill is a specialized integration for the UPLO clinical intelligence platform, designed to facilitate search and management of pharmaceutical and healthcare data. It utilizes an MCP server (@agentdocs1/mcp-server) to provide tools for clinical trial analysis, regulatory compliance, and organizational context retrieval. While the skill handles sensitive information and includes high-privilege tools like 'export_org_context' and 'get_identity_context', its instructions in SKILL.md and identity-patch.md are strictly aligned with its stated purpose of clinical operations and pharmacovigilance, with no evidence of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The skill's functions (search_with_context, search_knowledge, get_directives, export_org_context, logging) align with a clinical knowledge-management product. The declared config in skill.json (agentdocs_url + api_key) is appropriate for connecting to a UPLO/MCP server. However, the registry metadata above lists 'required env vars: none' and 'primary credential: none', which contradicts skill.json and README that require an API key and URL.
Instruction Scope
SKILL.md instructs the agent to immediately pull identity context, check directives, run searches, and log pharmacovigilance sessions. Those actions are within the stated clinical operations scope. The instructions do require access to identity/clearance context and to log audit trails, which is expected for pharmacovigilance workflows, but also means the agent will handle sensitive identity and patient-related metadata — SKILL.md does state to respect classification tiers.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but README and skill.json indicate running an MCP server via 'npx @agentdocs1/mcp-server --http' and setting AGENTDOCS_URL/API_KEY. Using npx/npm to pull and run an MCP server is a moderate-risk install path because it will execute code from the npm package at runtime. The package name @agentdocs1/mcp-server should be verified (publisher, integrity, and intended behavior) before installation.
Credentials
The skill.json requires agentdocs_url and api_key (an MCP token) which are proportionate to the service, but the publicly visible registry metadata lists no required env vars/credentials — this mismatch is a red flag. The skill will have access to organization identity context and potentially sensitive clinical data when given the API key; ensure the API key has least privilege and is scoped to an appropriate environment (test/sandbox) before granting access.
Persistence & Privilege
always is false and the skill does not request system-wide persistent privileges. The skill's behavior is limited to interacting with the remote MCP/UPLO instance and logging to the knowledge base; it does not claim to modify other skills or global agent configs.
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-clinical - 安装完成后，直接呼叫该 Skill 的名称或使用
/uplo-clinical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-clinical 1.0.0 — Initial Release
- Launches unified AI-powered clinical operations intelligence for pharmaceutical and healthcare workflows
- Enables role-based access, session context, and up-to-date directive retrieval for clinical users
- Provides comprehensive search across trial protocols, patient care documentation, and operational SOPs
- Supports use cases in pharmacovigilance signal detection, formulary review, quality metrics, and regulatory preparation
- Introduces tools for knowledge gap reporting, organizational context export, and structured logging of audit activities
元数据
常见问题
Uplo Clinical 是什么？
AI-powered clinical operations intelligence spanning pharmaceutical development and healthcare delivery. Unified search across clinical trials, protocols, an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 247 次。
如何安装 Uplo Clinical？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install uplo-clinical」即可一键安装，无需额外配置。
Uplo Clinical 是免费的吗？
是的，Uplo Clinical 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Uplo Clinical 支持哪些平台？
Uplo Clinical 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 Clinical？
由 RooJenkins（@roojenkins）开发并维护，当前版本 v1.0.0。
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