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.
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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.mdtools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.