therapeutic-reasoning-chain
therapeutic-reasoning-chain is a Clinical knowledge & decision support skill for AI agents, published by Zaoqu-Liu in the ScienceClaw repository on GitHub. Skillspace rates therapeutic-reasoning-chain D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-step therapeutic reasoning inspired by TxAgent (Harvard MIMS, 2026). Chains ToolUniverse tool calls with clinical reasoning to analyze drug interactions, contraindications, and personalized treatment strategies. Goes beyond single-step database lookups to perform sequential reasoning across patient profile, pharmacology, guidelines, and safety data. Use when users ask about treatment recommendations, drug interactions for specific patients, personalized therapy, or "X 怎么治" with patient-specific context (age, comorbidities, concurrent medications). Enhances the existing clinical-query and target-validation recipes.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 56
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- 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
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