skills/25-HosungYou-Diverga/skills/x1/SKILL.md
Research Guardian - Ethics Advisory & Bias Detection across all research stages Enhanced VS 3-Phase process: Surface-level screening, deep contextual analysis, constructive recommendations Use when: reviewing research ethics, checking for bias, assessing trustworthiness, QRP screening Triggers: ethics review, IRB, bias detection, QRP, trustworthiness, research integrity, p-hacking, HARKing
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research x1Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
diverga_check_prerequisites("x1") -> must return approved: true
No prerequisites required. X1 is a cross-cutting agent that can be invoked at any stage.
diverga_mark_checkpoint("CP_ETHICS_REVIEW", decision, rationale)Read .research/decision-log.yaml directly. Conversation history is last resort.
Agent ID: X1 Category: X - Cross-Cutting VS Level: Enhanced (3-Phase) Tier: MEDIUM (Sonnet)
Cross-cutting quality and integrity agent combining research ethics advisory (from A4) with bias and trustworthiness detection (from F4). Can be invoked at any stage of the research lifecycle -- from proposal through publication -- with no prerequisites.
Purpose: Flag predictable, surface-level concerns that any reviewer would catch.
Purpose: Examine research-specific ethical implications and subtle bias patterns.
Purpose: Provide actionable steps to strengthen research integrity.
| Framework | Core Principles | Application | |-----------|----------------|-------------| | Belmont Report | Respect, Beneficence, Justice | Human subjects research baseline | | APA Ethics Code | Standards 8.01-8.15 | Psychology research specifics | | GDPR | Data minimization, purpose limitation | EU data protection | | Declaration of Helsinki | Informed consent, privacy | Medical/clinical research | | AERA Code of Ethics | Competence, integrity, responsibility | Education research |
| Risk Level | Criteria | Action Required | |------------|----------|-----------------| | Minimal | Anonymous surveys, public data, no vulnerable populations | Expedited review possible | | Low | Identifiable but non-sensitive data, adult participants | Standard IRB review | | Moderate | Sensitive topics, minor deception, some vulnerability | Full IRB review + safeguards | | High | Vulnerable populations, significant deception, invasive methods | Full IRB + external ethics consultation |
| QRP | Detection Method | Severity | |-----|-----------------|----------| | p-hacking | Unusual p-value distributions (just below .05) | HIGH | | HARKing | Mismatch between intro hypotheses and analyzed outcomes | HIGH | | Selective reporting | Missing registered outcomes, unreported analyses | HIGH | | Optional stopping | Data collection ending at significance | MEDIUM | | Outcome switching | Primary/secondary outcome changes from protocol | HIGH | | Rounding | Effect sizes or p-values suspiciously rounded | LOW | | Cherry-picking | Only favorable subgroups or time points reported | MEDIUM |
| Criterion | Quantitative Parallel | Assessment Checklist | |-----------|----------------------|---------------------| | Credibility | Internal validity | Prolonged engagement, triangulation, member checking, peer debriefing | | Transferability | External validity | Thick description, purposive sampling, context documentation | | Dependability | Reliability | Audit trail, inquiry audit, process documentation | | Confirmability | Objectivity | Reflexivity journal, audit trail, triangulation |
## Research Guardian Report
### 1. Ethics Review Summary
| Area | Status | Concerns | Recommendations |
|------|--------|----------|-----------------|
| Informed Consent | [status] | [concerns] | [recs] |
| Data Privacy | [status] | [concerns] | [recs] |
| Vulnerable Populations | [status] | [concerns] | [recs] |
| Cultural Sensitivity | [status] | [concerns] | [recs] |
### 2. QRP Risk Assessment
| Practice | Risk Level | Evidence | Mitigation |
|----------|-----------|----------|------------|
| [QRP type] | [HIGH/MED/LOW] | [evidence] | [steps] |
### 3. Trustworthiness Evaluation
| Criterion | Rating | Strengths | Gaps |
|-----------|--------|-----------|------|
| [criterion] | [rating] | [strengths] | [gaps] |
### 4. Actionable Recommendations
Priority 1 (Must Address):
1. [recommendation]
Priority 2 (Should Address):
1. [recommendation]
Priority 3 (Nice to Have):
1. [recommendation]
### Overall Integrity Assessment
**Score**: [X]/100
**Risk Level**: [LOW/MODERATE/HIGH]
**Key Concern**: [summary]
../../research-coordinator/core/vs-engine.mddevelopment
Conduct rigorous thematic analysis (TA) of qualitative data following Braun and Clarke's (2006) six-phase framework. Use whenever the user mentions 'thematic analysis', 'TA', 'Braun and Clarke', 'qualitative coding', 'identifying themes', or asks for help analysing interviews, focus groups, open-ended survey responses, or transcripts to identify patterns. Also trigger for questions about inductive vs theoretical coding, semantic vs latent themes, essentialist vs constructionist epistemology, building a thematic map, or writing up a qualitative findings section. Covers all six phases, the four upfront analytic decisions, the 15-point quality checklist, and the five common pitfalls. Produces a Word document write-up and an annotated thematic map. Does NOT cover IPA, grounded theory, discourse analysis, conversation analysis, or narrative analysis — use a different method for those.
development
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
testing
Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
data-ai
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.