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Refua
作者
jbenjoseph
· GitHub ↗
· v0.4.1
1861
总下载
1
收藏
1
当前安装
2
版本数
在 OpenClaw 中安装
/install refua
功能描述
Fold and score biomolecular complexes and optionally profile ADMET to prioritize molecules in drug discovery pipelines via the refua-mcp server.
安全使用建议
This skill appears coherent for running Refua via an MCP server, but take basic operational precautions before installing/running it:
- Install into an isolated Python environment or container (pip packages run code at install time).
- Verify the package source/repository (the SKILL.md points to github.com/agentcures/refua-mcp) and review maintainers if you need a higher trust level.
- Expect large model downloads and heavy CPU/GPU usage; check disk, GPU drivers, and bandwidth limits before downloading assets.
- When running the MCP server, restrict network exposure (bind to localhost, use firewall rules, or run in an internal network) so the service isn't unintentionally reachable from the public internet.
- No credentials are requested by the skill, but if you add auth or remote endpoints later, ensure secrets are scoped and stored securely.
- Do not use results as clinical or regulatory guidance without domain expert review; the SKILL.md itself warns against wet‑lab/clinical guidance.
If you want a deeper check, provide the refua/refua-mcp PyPI package names or the repository contents so I can review code-level behaviors (install-time scripts, remote URLs used for downloads, and any network/server authorization defaults).
功能分析
Type: OpenClaw Skill
Name: refua
Version: 0.4.1
The skill bundle describes a scientific computing tool for drug discovery. The `SKILL.md` provides instructions for installing Python packages (`pip install refua`, `refua-mcp`), downloading model assets (`python -c "from refua import download_assets; download_assets()"`), and starting a local server (`python3 -m refua_mcp.server`). All described actions are consistent with the stated purpose of setting up and running a complex machine learning-based scientific application. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent. The file system writes (for model assets) and network server capabilities are aligned with the skill's legitimate function.
能力评估
Purpose & Capability
The SKILL.md describes a Refua-to-MCP integration (folding, affinity scoring, optional ADMET) and all declared requirements match that purpose: it requires running a refua-mcp server and optionally installing refua/refua-mcp and model assets. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
Runtime instructions are focused: pip-install Refua/refua-mcp, download model assets, and run the MCP server (python3 -m refua_mcp.server). The instructions do not ask the agent to read unrelated files or exfiltrate data. Note: starting the MCP server exposes a network service (local or remote) — the operator should consider access controls and firewalling when launching it.
Install Mechanism
This is an instruction-only skill (no install spec). It tells an operator to pip install packages from PyPI and to run a Python asset-download helper. Using pip is expected for a Python ML tool, but pip installs execute arbitrary code from the package; operators should install into an isolated virtualenv/container and verify the package source (the SKILL.md links to the GitHub repo). Model asset downloads may be large and come from external hosts (e.g., HF/GitHub), so check bandwidth, integrity, and provenance.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to the stated goal (local MCP server + local model assets).
Persistence & Privilege
The skill does not request always:true, does not request to modify other skills, and contains no install-time operations that would permanently alter agent-wide configuration. Agent autonomous invocation remains allowed (platform default) but is not combined with other concerning privileges.
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 refua - 安装完成后，直接呼叫该 Skill 的名称或使用
/refua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
v0.4.1
Refua 0.4.1 Changelog
- Clarified installation, asset setup, and MCP server launch steps in documentation.
- Updated usage guidance and safety notes.
- Improved summary and operator instructions for easier setup.
- Enhanced tool descriptions and example inputs/outputs.
- Minor reorganization and simplification of skill documentation.
v0.4.0
Initial version.
元数据
常见问题
Refua 是什么？
Fold and score biomolecular complexes and optionally profile ADMET to prioritize molecules in drug discovery pipelines via the refua-mcp server. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1861 次。
如何安装 Refua？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install refua」即可一键安装，无需额外配置。
Refua 是免费的吗？
是的，Refua 完全免费（开源免费），可自由下载、安装和使用。
Refua 支持哪些平台？
Refua 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 Refua？
由 jbenjoseph（@jbenjoseph）开发并维护，当前版本 v0.4.1。
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