synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/synthetic-sciences/opensciencenpx agentmods add skills/synthetic-sciences/openscience/clinical-decision-supportWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/synthetic-sciences/openscience/clinical-decision-support)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/clinical-decision-support"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/clinical-decision-support/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/clinical-decision-support"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/clinical-decision-support.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00097 | $0.05972 |
| Opus 5.5 | $0.00039 | $0.02389 |
| Sonnet 5.5 | $0.00019 | $0.01194 |
| Haiku 4.5 | $0.00010 | $0.00597 |
Grade A, and why
clinical-decision-support scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- clinical-decision-support — 98% identical, 18 lines differ
- clinical-decision-support — 97% identical, 17 lines differ
- clinical-decision-support — 95% identical, 17 lines differ
- clinical-decision-support — 95% identical, 18 lines differ
- clinical-decision-support — 95% identical, 13 lines differ
- clinical-decision-support-hardened — 94% identical, 21 lines differ
- clinical-decision-support — 94% identical, 20 lines differ
- clinical-decision-support — 94% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Decision Support Documents
Description
Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:
- Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons
- Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms
All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.
Note: For individual patient treatment plans at the bedside, use the treatment-plans skill instead. This skill focuses on group-level analyses and evidence synthesis for pharmaceutical/research settings.
Writing Style: For publication-ready documents targeting medical journals, consult the venue-templates skill's medical_journal_styles.md for guidance on structured abstracts, evidence language, and CONSORT/STROBE compliance.
Capabilities
Document Types
Patient Cohort Analysis
- Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
- Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
- Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
- Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
- Survival analysis with Kaplan-Meier curves and log-rank tests
- Efficacy tables and waterfall plots
- Comparative effectiveness analyses
- Pharmaceutical cohort reporting (trial subgroups, real-world evidence)
Treatment Recommendation Reports
- Evidence-based treatment guidelines for specific disease states
- Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
- Quality of evidence assessment (high, moderate, low, very low)
- Treatment algorithm flowcharts with TikZ diagrams
- Line-of-therapy sequencing based on biomarkers
- Decision pathways with clinical and molecular criteria
- Pharmaceutical strategy documents
- Clinical guideline development for medical societies
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/biomarker_report_template.tex 13 KB
- assets/clinical_pathway_template.tex 8.1 KB
- assets/cohort_analysis_template.tex 12 KB
- assets/color_schemes.tex 6.9 KB
- assets/example_gbm_cohort.md 9.1 KB
- assets/recommendation_strength_guide.md 11 KB
- assets/treatment_recommendation_template.tex 18 KB
- README.md 4.9 KB
- references/biomarker_classification.md 29 KB
- references/clinical_decision_algorithms.md 21 KB
- references/evidence_synthesis.md 33 KB
- references/outcome_analysis.md 24 KB
- references/patient_cohort_analysis.md 16 KB
- references/treatment_recommendations.md 19 KB
- scripts/biomarker_classifier.py 13 KB runs code
- scripts/build_decision_tree.py 15 KB runs code
- scripts/create_cohort_tables.py 17 KB runs code
- scripts/generate_survival_analysis.py 15 KB runs code
- scripts/validate_cds_document.py 12 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 29d ago Changed · +8 lines f658ed3146c8
- 1mo ago Changed 7ed4e5f3f887
- 1mo ago Changed 9793b2edc1d7
- 1mo ago First seen · 508 lines · 97 tokens per session scan A 0bc44b745344
clinical-decision-support is a skill published in the GitHub repository synthetic-sciences/openscience (4,004 stars, last pushed 3d ago), licensed Apache-2.0. It adds 97 tokens to every session and 5,972 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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