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…

Custom licenceAuto-check passed

Install X1

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills x1 --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/x1 .claude/skills/x1 && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
x1
GitHub stars
4.6k
Token cost
~1.9k tokens
SKILL.md length
626 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

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…

  • Works in 3 steps: Identify Standard Ethics/Bias Concerns → Deep Contextual Analysis → Constructive Recommendations
  • : reviewing research ethics
  • SKILL.md covers Prerequisites (v8.2 -- MCP…, Overview, When to Use and VS-Enhanced 3-Phase Process, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

X1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. 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

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • : reviewing research ethics
  • Checking for bias
  • Assessing trustworthiness
  • QRP screening Triggers: ethics review

Example prompts

  • “/x1”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Identify Standard Ethics/Bias Concerns
  2. Deep Contextual Analysis
  3. Constructive Recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

X1 loads about 1.9k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 626 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 626 words (~1,917 tokens).

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

— opening of SKILL.md by brycewang-stanford, Custom licence
name
x1
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/x1 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

X1 next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

X1 compared with similar skills
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Resemble Detectgithub/awesome-copilot40k3 repos~4.1kAutomated safety check: PassApache-2.0
Pii Detectruvnet/ruflo74k—~350Automated safety check: NotesMIT
Detecting Dnp3 Protocol Anomaliesmukul975/Anthropic-Cybersecurity-Skills34k—~3.6kAutomated safety check: PassApache-2.0
Detecting Attacks On Scada Systemsmukul975/Anthropic-Cybersecurity-Skills34k—~6.9kAutomated safety check: PassApache-2.0

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Questions about X1

What does X1 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…. X1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use X1?

X1 fits situations like: : reviewing research ethics; checking for bias; assessing trustworthiness; QRP screening Triggers: ethics review.

How do I install X1 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/x1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/x1 in your project. Claude Code loads it when a task matches its description.

How do I install X1 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/x1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/x1 in your project. Codex loads it when a task matches its description.

Can I use X1 in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill x1 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/x1, .gemini/skills/x1, .github/skills/x1 and .opencode/skills/x1 in your project.

What does X1 need to run?

SKILL.md names no scripts, command-line tools or credentials: X1 is instructions for the agent only.

Does X1 access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is X1 safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does X1 use?

X1 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does X1 use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to X1?

Skills that share tags, products or a category with X1: Threat Detection (alirezarezvani/claude-skills, 28k stars), Resemble Detect (github/awesome-copilot, 40k stars), Pii Detect (ruvnet/ruflo, 74k stars) and Detecting Dnp3 Protocol Anomalies (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains X1?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.