Pharmacoeconomic-evaluation
PassAudited by ClawScan on May 1, 2026.
Overview
This appears to be a pharmacoeconomic analysis aid with calculation scripts and no evidence of hidden data access, exfiltration, persistence, or autonomous transactions, though dependency/provenance and high-stakes-use notes merit review.
Install only if you need pharmacoeconomic calculation support. Use a trusted, isolated Python environment, consider pinning dependencies, do not grant purchase or payment permissions, and independently verify any analysis used for healthcare pricing, reimbursement, or policy decisions.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If a platform granted purchase or transaction authority to this skill, that authority would be unnecessary for the shown pharmacoeconomic calculation use case.
A purchase-related capability signal is broader than what the analysis-focused artifacts appear to need; no supplied file shows a scoped purchase or payment workflow.
Capability signals - crypto - can-make-purchases
Do not grant payment, purchase, or transaction tools to this skill unless a future version clearly explains and scopes that need.
Different dependency versions could affect reproducibility or expose users to ordinary package supply-chain risk.
The skill relies on common third-party scientific Python packages with minimum-version specifiers rather than exact pins; this is normal for this purpose but means installed versions can vary.
numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 tqdm>=4.62.0
Install dependencies in a virtual environment from trusted package indexes and pin versions if reproducibility matters.
Users could over-trust model outputs or assumptions in decisions involving healthcare budgets, pricing, or reimbursement.
The skill frames itself as guideline-aligned and suitable for high-stakes healthcare economic decisions, which may encourage reliance on its outputs.
Follows ISPOR Good Practices for Outcomes Research Reports. Use this skill for HTA projects, drug pricing, reimbursement decisions, and health economic research.
Use the skill as an analysis aid and have assumptions, data sources, and conclusions reviewed by qualified pharmacoeconomic or HTA experts.