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版本数
在 OpenClaw 中安装
/install preclinical-pkpd-analyst
功能描述
Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
安全使用建议
This skill appears internally consistent and appropriate for local PK analysis. Before installing/run: 1) run the provided demo (--demo) in an isolated or sandboxed environment to verify behavior; 2) install numpy and scipy in a controlled virtualenv so dependencies don't affect your system; 3) ensure input CSV files are well-formed (time,concentration) and validate units/dose assumptions (the script assumes dose=1 when computing Clearance); 4) be aware the script performs numeric model fitting (curve_fit) which can produce unstable parameter estimates for poor data — review outputs and assumptions before using results for decisions. If you need regulatory-grade results, perform additional validation and code review for edge cases (e.g., very small ke leading to large t1/2, or model fit failures).
功能分析
Type: OpenClaw Skill
Name: preclinical-pkpd-analyst
Version: 1.0.0
The skill bundle provides a legitimate tool for pharmacokinetic (PK/PD) analysis. The primary script, `scripts/main.py`, uses standard scientific libraries (numpy and scipy) to perform mathematical modeling and parameter calculation (AUC, Cmax, etc.) without any evidence of malicious behavior, data exfiltration, or unauthorized system access. The instructions in `SKILL.md` are appropriately scoped to the tool's functionality and include reasonable security checklists and audit commands.
能力评估
Purpose & Capability
The packaged script (scripts/main.py) implements PK parameter estimation (one-compartment model, AUC, Cmax, Tmax, t1/2, clearance), matching the skill name and description. Declared dependencies (numpy, scipy) are appropriate for this purpose.
Instruction Scope
SKILL.md instructs validating inputs, running the packaged script, and returning bounded deliverables. Runtime instructions and the script operate on local input files only; they do not read unrelated system files, environment variables, or send data externally.
Install Mechanism
No install spec is present (instruction-only with an included script). Dependencies are declared in requirements.txt (numpy, scipy) — standard Python packages from PyPI; nothing is downloaded from arbitrary URLs or written to unexpected locations.
Credentials
The skill requests no environment variables, credentials, or config paths. The script reads an explicit input CSV if provided and otherwise runs demo data — no secret access is required.
Persistence & Privilege
always is false and the skill does not request any persistent or system-wide privileges. It does not modify other skills or agent configurations.
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 preclinical-pkpd-analyst - 安装完成后,直接呼叫该 Skill 的名称或使用
/preclinical-pkpd-analyst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 public release of preclinical-pkpd-analyst.
- Automates preclinical pharmacokinetic/pharmacodynamic (PK/PD) data analysis with structured execution and explicit assumptions.
- Provides reproducible output, clear reporting of inputs and constraints, and documented fallback steps for incomplete data or execution errors.
- Supports non-compartmental analysis, including calculation of AUC, Cmax, Tmax, T1/2, clearance, and volume.
- Designed for workflows like IND-enabling studies, dose selection, drug candidate ranking, and as a WinNonlin alternative.
- Includes comprehensive security checklist, risk assessment, and explicit error handling protocols.
元数据
常见问题
Pre-clinical PK/PD Analyst 是什么?
Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 132 次。
如何安装 Pre-clinical PK/PD Analyst?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install preclinical-pkpd-analyst」即可一键安装,无需额外配置。
Pre-clinical PK/PD Analyst 是免费的吗?
是的,Pre-clinical PK/PD Analyst 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Pre-clinical PK/PD Analyst 支持哪些平台?
Pre-clinical PK/PD Analyst 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 Pre-clinical PK/PD Analyst?
由 AIpoch(@aipoch-ai)开发并维护,当前版本 v1.0.0。
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