x1
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
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## 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
- Prerequisites (v8.2 -- MCP Enforcement)
- Checkpoints During Execution
- Fallback (MCP unavailable)
- Overview
- When to Use
- VS-Enhanced 3-Phase Process
- Phase 1: Identify Standard Ethics/Bias Concerns
- Phase 2: Deep Contextual Analysis
- Phase 3: Constructive Recommendations
- Ethics Advisory (from A4)
- IRB/Ethics Review Support
- Ethical Framework Application
- Ethical Risk Assessment Matrix
- Bias & Trustworthiness Detection (from F4)
What does the x1 skill do?
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
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.