← 返回 Skills 市场
PharmaClaw Pharmacology Agent
作者
CheminemPharmaclaw
· GitHub ↗
· v2.0.1
· MIT-0
95
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install pcl-pharmacology-agent
功能描述
Pharmacology agent for ADME/PK profiling of drug candidates from SMILES. Computes drug-likeness (Lipinski Ro5, Veber rules), QED, SA Score, ADME predictions...
安全使用建议
This skill appears to do what it says: local RDKit-based ADME profiling and an optional script that posts SMILES to ADMETlab 3.0. Before installing or running: (1) Ensure RDKit and requests are available in your environment. (2) If your molecules are proprietary or confidential, avoid running admetlab3.py (it will send SMILES to a third‑party API). (3) If you want to restrict network access, run only scripts/chain_entry.py (it uses local RDKit models and does not call the remote API). (4) Review or sandbox the optional lab_hook dashboard integration if you have a local 'pharmaclaw-lab-ui' directory to avoid unintended local imports.
功能分析
Type: OpenClaw Skill
Name: pcl-pharmacology-agent
Version: 2.0.1
The bundle implements a pharmacology profiling agent that uses RDKit and the ADMETlab 3.0 API to predict drug-likeness and ADME properties. The code in scripts/admetlab3.py and scripts/chain_entry.py is well-structured and aligns with the stated scientific purpose, including appropriate error handling and fallback mechanisms. While chain_entry.py includes a relative path hook for a 'pharmaclaw-lab-ui' component, this appears to be a standard integration for a dashboard environment and does not exhibit malicious behavior or data exfiltration.
能力评估
Purpose & Capability
The name/description match the provided scripts: chain_entry.py performs RDKit-based descriptor and rule-based ADME predictions and admetlab3.py implements optional ADMETlab 3.0 API calls and a RDKit fallback. No unrelated binaries or secrets are required. Minor inconsistency: the top-level wording implies automatic combination of ADMETlab+RDKit, but chain_entry.py does not call admetlab3.py automatically — the ADMETlab integration is provided as a separate script the user can run.
Instruction Scope
SKILL.md instructs running the included Python scripts. chain_entry.py operates locally on a provided SMILES and does not exfiltrate other system data. admetlab3.py issues HTTP POSTs to https://admetlab3.scbdd.com/service/evaluation (documented in the code) — expected for the advertised ML integration but important to note: sending SMILES to that external service will transmit molecule structures off-host (potential IP/privacy risk). There are no instructions to read unrelated files or environment variables.
Install Mechanism
No install spec is provided (instruction-only install). The code relies on standard Python packages (requests) and RDKit; this is proportional to the functionality. Nothing in the skill downloads arbitrary archives or runs external installers.
Credentials
The skill declares no required environment variables or credentials and the code does not attempt to read secrets. It does rely on RDKit and optional SA_Score/PAINS RDKit contribs; ensure those dependencies are available. The optional lab_hook import inserts a relative path to a neighboring 'pharmaclaw-lab-ui' directory but falls back to a no-op if not present — not a credential access but it can call a local dashboard if that package exists.
Persistence & Privilege
always is false and the skill does not modify other skills or system configuration. It only prints JSON output and calls an optional external API; autonomous invocation is allowed by default (normal for skills) but not combined with other high-risk requests.
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 pcl-pharmacology-agent - 安装完成后，直接呼叫该 Skill 的名称或使用
/pcl-pharmacology-agent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
v2.0.1
Republished under CheminemPharmaclaw
元数据
常见问题
PharmaClaw Pharmacology Agent 是什么？
Pharmacology agent for ADME/PK profiling of drug candidates from SMILES. Computes drug-likeness (Lipinski Ro5, Veber rules), QED, SA Score, ADME predictions... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 95 次。
如何安装 PharmaClaw Pharmacology Agent？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pcl-pharmacology-agent」即可一键安装，无需额外配置。
PharmaClaw Pharmacology Agent 是免费的吗？
是的，PharmaClaw Pharmacology Agent 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
PharmaClaw Pharmacology Agent 支持哪些平台？
PharmaClaw Pharmacology Agent 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 PharmaClaw Pharmacology Agent？
由 CheminemPharmaclaw（@cheminempharmaclaw）开发并维护，当前版本 v2.0.1。
推荐 Skills