tooluniverse-immunotherapy-response-prediction

tooluniverse-immunotherapy-response-prediction is a Bioinformatics & life sciences skill for AI agents, published by FreedomIntelligence in the OpenClaw-Medical-Skills repository on GitHub. Skillspace rates tooluniverse-immunotherapy-response-prediction C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
2,848

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.

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Our review

Architecture
82 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 3 other repositories, in 13 collections
Scope
Portable: works in any project. General immunotherapy biomarker analysis, no repo-specific references

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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