Adme Property Predictor

PassAudited by ClawScan on May 10, 2026.

Overview

The skill appears to be a local ADME prediction helper, with no evidence of credential access, network exfiltration, persistence, or hidden destructive behavior.

This skill looks safe to try for local, exploratory ADME estimation. Run it in a controlled project environment, verify dependency sources, review any file or shell actions, and do not rely on its predictions for clinical, regulatory, or high-stakes drug-development decisions without independent validation.

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.

What this means

If invoked broadly, the agent could run local commands or modify files while performing ADME analysis.

Why it was flagged

The skill permits local file and shell-related tools. This is plausibly needed to run the predictor and write outputs, but it is broader than pure in-memory calculation.

Skill content
allowed-tools: [Read, Write, Bash, Edit]
Recommendation

Use the skill in a project directory, review proposed Bash/Edit actions, and keep outputs limited to files you explicitly choose.

What this means

Results or runtime behavior could vary depending on which dependency versions are installed.

Why it was flagged

The dependencies are unpinned, so an installation may resolve to different package versions over time. RDKit is purpose-aligned for cheminformatics, and no malicious install behavior is shown.

Skill content
dataclasses
rdkit
Recommendation

Install dependencies from trusted sources and prefer pinned versions in a controlled environment for reproducible scientific work.

What this means

Users could overestimate the scientific reliability of the predictions if they treat them as validated pharmacokinetic results.

Why it was flagged

The visible implementation describes simplified heuristic models, while the documentation presents the skill as using validated cheminformatics models and ML/QSPR-style predictions. The documentation also includes warnings against clinical dosing use, which reduces but does not remove the need for caution.

Skill content
# Simplified model: high lipophilicity, moderate PSA favors permeability
Recommendation

Treat outputs as preliminary screening estimates only, and validate important ADME conclusions with experimentally supported or independently validated models.