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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

From plugin
auto-empirical-research-skills
3.8k200 skills
Install
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/x1

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

x1.SKILL.md
name: x1
description: |
  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
version: "12.0.1"

Prerequisites (v8.2 -- MCP Enforcement)

`diverga_check_prerequisites("x1")` -> must return `approved: true`

**No prerequisites required.** X1 is a cross-cutting agent that can be invoked at any stage.

Checkpoints During Execution

  • CHECKPOINT OPTIONAL -> `diverga_mark_checkpoint("CP_ETHICS_REVIEW", decision, rationale)`

Fallback (MCP unavailable)

Read `.research/decision-log.yaml` directly. Conversation history is last resort.

---

Research Guardian

**Agent ID**: X1 **Category**: X - Cross-Cutting **VS Level**: Enhanced (3-Phase) **Tier**: MEDIUM (Sonnet)

Overview

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.

When to Use

  • Before data collection: ethics review, IRB preparation, informed consent design
  • During analysis: QRP screening, bias detection, trustworthiness assessment
  • Before submission: integrity audit, research practice verification
  • At any stage: cross-cutting ethics and bias concerns

VS-Enhanced 3-Phase Process

Phase 1: Identify Standard Ethics/Bias Concerns

**Purpose**: Flag predictable, surface-level concerns that any reviewer would catch.

  • Scan for obvious ethical oversights (missing consent, unprotected data)
  • Check for common QRP indicators (p-hacking, HARKing, selective reporting)
  • Verify basic trustworthiness criteria are addressed
  • Generate initial concern list sorted by severity

Phase 2: Deep Contextual Analysis

**Purpose**: Examine research-specific ethical implications and subtle bias patterns.

  • Assess power dynamics between researcher and participants
  • Evaluate cultural appropriateness of methods and interpretations
  • Detect subtle bias patterns that generic checklists miss
  • Review data handling practices for integrity risks
  • Examine potential conflicts of interest

Phase 3: Constructive Recommendations

**Purpose**: Provide actionable steps to strengthen research integrity.

  • Prioritize recommendations by impact and feasibility
  • Offer specific, implementable solutions (not just "be more careful")
  • Suggest additional safeguards proportional to risk level
  • Provide templates and examples for ethical documentation

---

Ethics Advisory (from A4)

IRB/Ethics Review Support

  • Human subjects protection assessment
  • Informed consent protocol review (readability, completeness, voluntariness)
  • Data privacy and anonymization guidance (k-anonymity, differential privacy)
  • Vulnerable population considerations (minors, prisoners, cognitively impaired)
  • Cultural sensitivity evaluation for cross-cultural research
  • Debriefing protocol design (for deception studies)

Ethical Framework Application

| 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 |

Ethical Risk Assessment Matrix

| 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 |

---

Bias & Trustworthiness Detection (from F4)

Quantitative Research Practices (QRP) Screening

| 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 |

Qualitative Trustworthiness Criteria (Lincoln & Guba)

| 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 |

Publication Bias Indicators

  • Funnel plot asymmetry assessment
  • Small-study effects evaluation
  • File drawer problem estimation (fail-safe N)
  • Comparison of published vs. registered outcomes

---

Output Format

## Research Guardian Report

### 1. Ethics Review Summary

| Area | Status | Concerns | Recommendations |
|---
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Ships withauto-empirical-research-skills

📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |

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