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aipoch-ai

Pre-clinical PK/PD Analyst

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
132
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Install in OpenClaw
/install preclinical-pkpd-analyst
Description
Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Usage Guidance
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).
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install preclinical-pkpd-analyst
  3. After installation, invoke the skill by name or use /preclinical-pkpd-analyst
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug preclinical-pkpd-analyst
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Pre-clinical PK/PD Analyst?

Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries. It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.

How do I install Pre-clinical PK/PD Analyst?

Run "/install preclinical-pkpd-analyst" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pre-clinical PK/PD Analyst free?

Yes, Pre-clinical PK/PD Analyst is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pre-clinical PK/PD Analyst support?

Pre-clinical PK/PD Analyst is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pre-clinical PK/PD Analyst?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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