adme-property-predictor
Predict ADME (Absorption, Distribution, Metabolism, Excretion) properties for drug candidates using cheminformatics models and molecular descriptors. Evaluates drug-likeness, bioavailability, and pharmacokinetic profile to guide lead optimization and candidate selection in drug d
Install caution
Risk: Medium
Source: OpenClaw Master Skills
Path: skills/adme-property-predictor/SKILL.md
Review flags: filesystem/home-directory access, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.
Required permissions
- • Environment variables / secrets
- • Shell commands
- • Filesystem/home access
Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.
Risk flags explained
Mentions filesystem writes, deletes, home-directory paths, or config/key locations.
Contains shell command snippets. Review commands before copy/paste or agent execution.
Score explanation
Trust
- • Trust starts at 90 before review-signal penalties and metadata bonuses.
- • Risk-signal penalty: -23 from 2 detected flag(s).
- • Metadata bonus: +2 from author/version/description fields.
Utility
- • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
- • Description present: yes.
- • Command examples detected: 3.
- • Environment variables detected: 1.
Momentum
- • Momentum starts at 45 and uses public repo activity signals.
- • Recent commit activity: latest repo update was 0 day(s) ago.
- • Recent commit volume: 8 commit(s) in the lookback window (+20).
- • Source has strong public adoption: 1972 stars.
- • Fork activity suggests reuse: 306 forks.
Overall
- • Overall score weights trust 45%, utility 35%, and momentum 20%.
Detected signals
Env vars
- • API
Commands
- • python scripts/main.py --input library.smi --properties absorption,distribution --format csv --output library_adme.csv
- • python scripts/main.py --input library_adme.csv --filter "lipinski_pass=True,hia>80" --rank-by qed --top-n 100 --output top_candidates.csv
- • python scripts/main.py --smiles "CC(=O)Oc1ccccc1C(=O)O" --properties all --output aspirin_adme.json
URLs
None detected in SKILL.md text scan.
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SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.