drug-lead-analysis
drug-lead-analysis is a Bioinformatics & life sciences skill for AI agents, published by PharMolix in the OpenBioMed repository on GitHub. Skillspace rates drug-lead-analysis C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze drug candidate molecules for drug-likeness, ADMET properties, and safety profiles. Use this skill when: (1) Evaluating a molecule's potential as a drug candidate, (2) Checking drug-likeness scores (QED, Lipinski), (3) Predicting blood-brain barrier penetration, (4) Assessing side effects and ADMET properties, (5) Comparing multiple molecules for lead optimization.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,090
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.