Clinical Research GuideSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: clinical-research-guide
description: "Design clinical studies and report using CONSORT, STROBE guidelines"
metadata:
openclaw:
emoji: "🏥"
category: "domains"
subcategory: "biomedical"
keywords: ["clinical research", "CONSORT", "STROBE", "clinical trial", "study design", "reporting guidelines"]
source: "wentor-research-plugins"
---
# Clinical Research Guide
A skill for designing clinical studies and reporting results according to established guidelines. Covers randomized controlled trials (CONSORT), observational studies (STROBE), diagnostic studies (STARD), and systematic reviews (PRISMA).
## Study Design Selection
### Hierarchy of Evidence
```
Systematic Reviews / Meta-analyses
|
Randomized Controlled Trials (RCTs)
|
Cohort Studies (prospective)
|
Case-Control Studies
|
Cross-Sectional Studies
|
Case Reports / Case Series
|
Expert Opinion
Choose the design that best answers your research question
given ethical, practical, and resource constraints.
```
### Design Decision Framework
```python
def select_study_design(research_question: str,
can_randomize: bool,
outcome_prevalence: str,
time_constraint: str) -> dict:
"""
Guide selection of clinical study design.
Args:
research_question: The clinical question
can_randomize: Whether randomization is ethical and feasible
outcome_prevalence: 'common' or 'rare'
time_constraint: 'short', 'medium', or 'long'
"""
if can_randomize:
design = {
"recommended": "Randomized Controlled Trial (RCT)",
"reporting": "CONSORT 2010",
"strengths": "Strongest causal inference",
"considerations": [
"Need equipoise (genuine uncertainty about which is better)",
"Blinding may or may not be feasible",
"Intent-to-treat analysis is the primary approach",
"Pre-register at ClinicalTrials.gov or ISRCTN"
]
}
elif outcome_prevalence == "rare":
design = {
"recommended": "Case-Control Study",
"reporting": "STROBE",
"strengths": "Efficient for rare outcomes",
"considerations": [
"Select controls carefully (matching, population-based)",
"Recall bias is a major threat",
"Can only calculate odds ratios, not incidence"
]
}
elif time_constraint == "short":
design = {
"recommended": "Cross-Sectional Study",
"reporting": "STROBE (cross-sectional extension)",
"strengths": "Quick, inexpensive, good for prevalence",
"considerations": [
"Cannot establish temporal sequence",
"Prevalence bias (overrepresents chronic conditions)",
"Useful for hypothesis generation"
]
}
else:
design = {
"recommended": "Prospective Cohort Study",
"reporting": "STROBE",
"strengths": "Can establish temporal sequence, multiple outcomes",
"considerations": [
"Loss to follow-up is the main threat",
"Confounding must be addressed analytically",
"Expensive and time-consuming"
]
}
return design
```
## CONSORT for Randomized Trials
### Essential CONSORT Checklist Items
```
Title and Abstract:
- Identify as randomized trial in the title
- Structured abstract with trial design, methods, results, conclusions
Methods:
- Trial design (parallel, crossover, factorial, etc.)
- Participants: Eligibility criteria, settings, locations
- Interventions: Precise details of interventions for each group
- Outcomes: Primary and secondary, how and when assessed
- Sample size: Calculation with assumptions stated
- Randomization: Sequence generation, allocation concealment
- Blinding: Who was blinded, how blinding was maintained
Results:
- CONSORT flow diagram (enrollment, allocation, follow-up, analysis)
- Baseline demographic table (Table 1)
- Primary outcome with effect size and confidence interval
- Harms and adverse events
Discussion:
- Limitations including sources of potential bias
- Generalizability
- Interpretation consistent with results
```
### CONSORT Flow Diagram
```
Assessed for eligibility (n=...)
|
Excluded (n=...)
- Not meeting criteria (n=...)
- Declined to participate (n=...)
- Other reasons (n=...)
|
Randomized (n=...)
/ \
Allocated to Allocated to
intervention (n=...) control (n=...)
| |
Lost to follow-up Lost to follow-up
(n=..., reasons) (n=..., reasons)
| |
Analyzed (n=...) Analyzed (n=...)
Excluded from analysis Excluded from analysis
(n=..., reasons) (n=..., reasons)
```
## STROBE for Observational Studies
### Key STROBE Requirements
```
Study design specific items:
Cohort:
- Report follow-up time (person-years, median)
- Report loss to follow-up with reasons
- Use hazard ratios or incidence rate ratios
Case-Control:
- Describe case definition and case ascertainment
- Describe control selection (source, matching criteria)
- Report odds ratios with confidence intervals
Cross-Sectional:
- Report response rate and non-response analysis
- Describe how the sample represents the target population
- Report prevalence with confidence intervals
```
## Sample Size and Power
### Power CalculatiTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__clinical-research-guide.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Clinical Research Guide skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Clinical Research Guide safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Clinical Research Guide access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Clinical Research Guide work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.