Install
$ agentstack add skill-chenhaodev-med-stats-skills-clinical-trial-quality ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Clinical Trial Quality Assessment
This skill provides tools and frameworks for critically appraising clinical research papers using the Critical Appraisal Skills Programme (CASP) checklists. It helps determine if evidence is valid, reliable, and applicable to your specific clinical context.
Quick Reference
Select the appropriate checklist based on the study design you are evaluating.
| Study Design | CASP Checklist | Key Assessment Areas | Example | |--------------|----------------|----------------------|---------| | Cohort Study | [Checklist](references/casp-cohort-study.md) | Selection, assessment, confounding, results | COVID-19 risk factors study | | RCT | [Bedtime HPT](references/casp-rct-bedtime-hpt.md) | Randomization, blinding, follow-up, results | Bedtime hypertension treatment trial | | RCT | [POLYPILL](references/casp-rct-polypill.md) | Trial validity, results, applicability | Polypill cardiovascular prevention | | Systematic Review | [Checklist](references/casp-systematic-review.md) | Search strategy, quality appraisal, results synthesis | HRT systematic review |
When to Use
Use this skill when you need to:
- Evaluate Evidence Quality: Determine if a study's methodology is rigorous enough to trust its findings.
- Conduct Systematic Reviews: Assess the risk of bias in included studies.
- Make Clinical Decisions: Decide if research findings should change your clinical practice.
- Journal Club: Critically analyze a paper for discussion with colleagues.
- Research Planning: Understand quality standards to design better studies.
How to Use
The critical appraisal process follows a systematic workflow using the CASP checklists.
1. Identify Study Design
Determine if the paper is a Randomized Controlled Trial (RCT), Cohort Study, Case Control Study, or Systematic Review. This determines which checklist to use.
2. Screening Questions (Section A)
Start with the first two questions in any CASP checklist. These are "screening" questions.
- Did the study ask a clearly focused question?
- Was the method appropriate?
- If the answer to either is "No", it is usually not worth continuing with the appraisal.
3. Detailed Assessment (Section B)
If the study passes screening, proceed to the detailed questions regarding methodology:
- Validity: Was the study designed to minimize bias? (e.g., randomization, blinding, confounding variables).
- Results: What are the results and how precise are they? (e.g., p-values, confidence intervals).
- Applicability: Will the results help locally? (e.g., patient population similarity, cost-benefit).
4. Interpreting Answers
- Yes: The study meets this quality criterion.
- Can't Tell: The paper does not provide enough information. This is a red flag for reporting quality.
- No: The study failed this criterion, indicating a potential source of bias.
CASP Checklists
Access the detailed checklists for specific study types:
[Cohort Study Checklist](references/casp-cohort-study.md)
Used for observational studies where a group is followed over time to see who develops an outcome.
- Focus: Recruitment bias, exposure measurement, confounding factors, follow-up duration.
[RCT Checklist (Bedtime HPT Example)](references/casp-rct-bedtime-hpt.md)
Used for experimental studies where participants are randomly assigned to interventions.
- Focus: Randomization method, blinding (masking), intention-to-treat analysis, equal treatment of groups.
[RCT Checklist (Polypill Example)](references/casp-rct-polypill.md)
Another example of an RCT checklist application, focusing on a prevention trial.
- Focus: Validity of trial design, magnitude of treatment effect, precision of estimates.
[Systematic Review Checklist](references/casp-systematic-review.md)
Used for reviews that systematically search for, appraise, and synthesize evidence from multiple studies.
- Focus: Comprehensiveness of search, quality assessment of included studies, heterogeneity of results.
Interpreting Results
When you have completed the checklist, summarize the quality of the evidence:
- High Quality: "Yes" to most validity questions. Low risk of bias. Results are likely true.
- Moderate Quality: Some "Can't Tell" or minor "No" answers. Some risk of bias. Results should be interpreted with caution.
- Low Quality: Major flaws in design ("No" to key validity questions). High risk of bias. Results may not be valid.
Key Statistical Concepts to Check:
- P-value: Is the result statistically significant? (< 0.05 usually).
- Confidence Interval (CI): How precise is the estimate? Narrower is better. Does it cross the line of no effect?
- Relative Risk (RR) / Odds Ratio (OR): How big is the effect?
- Number Needed to Treat (NNT): Is the clinical benefit meaningful?
References
- CASP UK: Critical Appraisal Skills Programme. https://casp-uk.net/
- Cochrane Handbook: For systematic reviews of interventions.
- CONSORT Statement: Standards for reporting clinical trials.
- STROBE Statement: Standards for reporting observational studies.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: chenhaodev
- Source: chenhaodev/med-stats-skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.