ScienceClaw is an agent system for scientific work that completes tasks as typed, executable workflows and turns replay-verified improvements into reusable skills and operators. It is intended for AI-assisted research across natural and social science disciplines. The catalogue entries are its skills and instruction for use with the system.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add beita6969/ScienceClaw --skill clinicalgit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/clinical)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/clinical"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/clinical/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/beita6969/scienceclaw/clinical"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/clinical.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 | $0.00001 | $0.00432 |
| Opus 5.5 | $0.00000 | $0.00173 |
| Sonnet 5.5 | $0.00000 | $0.00086 |
| Haiku 4.5 | $0.00000 | $0.00043 |
Grade A, and why
clinical 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 1mo 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.
What it actually says
Clinical Research
Overview
Clinical study design, statistical analysis, and regulatory compliance for medical research.
Study Designs
| Design | Level of Evidence | Best For |
|---|---|---|
| RCT | I | Treatment efficacy |
| Cohort (prospective) | II | Risk factors, prognosis |
| Cohort (retrospective) | III | Exposure-outcome associations |
| Case-control | III | Rare diseases, risk factors |
| Cross-sectional | IV | Prevalence, correlations |
| Case report/series | V | Novel observations |
Common Analyses
- Survival analysis: Kaplan-Meier curves, Log-rank test, Cox regression
- Diagnostic accuracy: Sensitivity, specificity, ROC curve, AUC
- Meta-analysis: Fixed/random effects, forest plot, heterogeneity (I-squared)
- Propensity score matching: For observational study confounding
- Nomogram: Predictive model visualization for clinical use
Sample Size Calculation
- Define: alpha (usually 0.05), power (usually 0.80), effect size, outcome type
- Tools: G*Power, R
pwrpackage, Pythonstatsmodels - Report: formula used, assumptions, expected dropout rate
Regulatory Compliance
- IRB/Ethics committee: Required for all human subjects research
- Informed consent: Written, voluntary, comprehensive
- ClinicalTrials.gov: Registration before enrollment (ICMJE requirement)
- GDPR/HIPAA: Data privacy for patient information
- GCP (Good Clinical Practice): ICH E6 guidelines
Reporting Guidelines
| Guideline | Study Type |
|---|---|
| CONSORT | Randomized controlled trials |
| STROBE | Observational studies |
| PRISMA | Systematic reviews / meta-analyses |
| STARD | Diagnostic accuracy |
| TRIPOD | Prediction models |
| SPIRIT | Study protocols |
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.
- 1mo ago First seen · 49 lines · 1 tokens per session scan A 347944f9acc4
clinical is a skill published in the GitHub repository beita6969/ScienceClaw (1,019 stars, last pushed 10d ago), licensed MIT. It adds 1 tokens to every session and 432 once invoked, about $0.0000 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.
Other skills, from other repositories
analytical-method-validation
Plans, executes, and documents validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP / / , ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays…
auditing-part11-trails
Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings. Use when the user runs OpenMed in a regulated/validated environment and needs an attributable, time-stamped, tamper-evident record of…
generating-synthetic-surrogates
Replace detected PHI with realistic, type-matched fake values in OpenMed so clinical notes stay readable and parseable instead of full of [REDACTED] markers. Use when the user wants surrogate names, MRNs, addresses, or dates rather than opaque masks, needs consistent fake identities across a document, must keep notes…
shifting-clinical-dates
Apply consistent per-patient date shifting in OpenMed that preserves intervals between events while satisfying HIPAA Safe Harbor's date rule. Use when the user needs to de-identify dates but keep temporal structure for research, shift all dates by the same offset per patient, preserve days-between-events for survival…
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
fda-database
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.