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 | $0.00000 | $0.00216 |
| Sonnet 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 10d 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.
- 10d ago First seen · 49 lines · 1 tokens per session scan A 347944f9acc4
clinical is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 1 tokens to every session and 432 once invoked, about $0.0000 per session on Opus 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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