Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Jama Study Design

ASecurity

Use when locking the study design and internal-validity safeguards for a JAMA clinical manuscript (RCT, cohort, diagnostic, or systematic review). Strengthens design choices; it does NOT pick the reporting checklist or run the statistics.

1,052 stars
0 votes
0 copies
0 views
Added 6/5/2026
ai-agents

Works with

cli

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-study-design --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Jama Study Design?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Jama Study Design
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-jama-study-design/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-jama-study-design)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: jama-study-design
description: Use when locking the study design and internal-validity safeguards for a JAMA clinical manuscript (RCT, cohort, diagnostic, or systematic review). Strengthens design choices; it does NOT pick the reporting checklist or run the statistics.
---

# Study Design & Internal Validity (jama-study-design)

## When to trigger

- Choosing or defending the design: RCT vs cohort vs case-control vs diagnostic
- A reviewer will ask whether the analysis is intention-to-treat or per-protocol
- Bias, confounding, or missing data threaten the primary inference
- The design and the reporting checklist need to be aligned before writing

## Design-specific safeguards JAMA reviewers expect

### Randomized clinical trials
- A single, **pre-specified primary outcome**; secondary outcomes clearly labeled
- Adequate randomization (sequence generation) and **allocation concealment**
- Blinding of participants, clinicians, outcome assessors where feasible — state what was blinded
- **Intention-to-treat** as the primary analysis; per-protocol only as secondary/sensitivity
- A priori **sample-size / power** calculation tied to the primary outcome
- Pre-defined stopping rules and handling of interim analyses

### Cohort / case-control (observational)
- Explicit **confounding** control: prespecified covariates, adjustment strategy, DAG reasoning
- Clear definitions of exposure, outcome, and follow-up windows; avoid immortal-time bias
- Selection-bias and information-bias appraisal; how participants entered the sample
- **Association, not causation** — design and language must respect this

### Diagnostic-accuracy studies
- Pre-specified reference standard, applied to all participants, blinded to index test
- Consecutive or random enrollment; report spectrum of disease
- Pre-defined thresholds; report sensitivity/specificity/predictive values with CIs

### Systematic reviews / meta-analyses
- Pre-registered protocol (e.g., PROSPERO), pre-specified eligibility and outcomes
- Comprehensive, reproducible search; duplicate screening and extraction
- Risk-of-bias assessment; pre-planned heterogeneity and sensitivity analyses

## Decision table

| Question                                                  | Design / action                         |
|-----------------------------------------------------------|-----------------------------------------|
| Does an intervention cause an outcome?                    | RCT; if infeasible, strong quasi-design |
| What is the prognosis / risk of an exposure?              | Prospective cohort with confounder plan |
| How accurate is a test?                                   | Diagnostic-accuracy study (vs reference)|
| What does the totality of evidence show?                  | Systematic review ± meta-analysis       |
| Rare outcome, exposure already occurred                   | Case-control (watch selection bias)     |

## Checklist

- [ ] Primary outcome is single, pre-specified, patient-relevant
- [ ] For RCTs: randomization, allocation concealment, blinding stated; ITT is primary
- [ ] Sample-size / power calculation present and tied to the primary outcome
- [ ] Confounding/bias strategy explicit and pre-specified (observational)
- [ ] Reference standard and blinding defined (diagnostic)
- [ ] Protocol pre-registered (RCT and systematic review)
- [ ] Missing-data handling pre-specified (not improvised post hoc)
- [ ] Design choice matches the EQUATOR checklist you will use

## Anti-patterns

- Promoting a secondary or post hoc outcome to "primary" after seeing results
- Per-protocol analysis presented as primary for an RCT
- "Adjusted for everything" with no pre-specified covariate rationale
- Causal claims from an observational design
- Reference standard chosen or applied after knowing the index-test result
- No power calculation, then attributing a null result to "trends"

## Output format

```
【Design】RCT / cohort / case-control / diagnostic / systematic review
【Primary outcome】... (pre-specified: yes/no)
【Key validity safeguards in place】...
【Validity gaps to fix】...
【Causal vs associational claim】...
【Matching EQUATOR checklist】CONSORT / STROBE / STARD / PRISMA
【Next skill】jama-reporting-standards
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

651 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →