Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis.

Custom licenceAuto-check passed

Install C5

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c5 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills c5 --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/c5 .claude/skills/c5 && 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
c5
GitHub stars
4.5k
Token cost
~3.6k tokens
SKILL.md length
744 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis.

  • Works in 4 steps: Multi-Gate Validation Pipeline → Phase-Based Orchestration → Effect Size Selection Hierarchy → …
  • SKILL.md covers ⛔ Prerequisites (v8.2 — MCP…, Agent Identity, Purpose and Authority Model, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

C5 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. Absorbed C6 (Data Integrity Guard), C7 (Error Prevention Engine), B3 (Effect Size Extractor), E5 (Sensitivity Analysis - Meta) capabilities Triggers: meta-analysis, pooled effect, heterogeneity, forest plot, funnel plot, Hedges g, data integrity, effect size extraction, sensitivity analysis

Its SKILL.md is about 3.6k 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…

Example prompts

  • “/c5”

Requirements

  • Python 3

Workflow steps

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

  1. Multi-Gate Validation Pipeline
  2. Phase-Based Orchestration
  3. Effect Size Selection Hierarchy
  4. Final Validation

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 python and yaml).

    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

C5 loads about 3.6k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 744 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

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 744 words (~3,644 tokens).

“diverga_check_prerequisites("c5") → must return approved: true If not approved → AskUserQuestion for each missing checkpoint (see .claude/references/checkpoint-templates.md)”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
c5
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/c5 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

C5 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.

C5 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
C5 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.6kAutomated safety check: PassCustom licence
Integration Testingthedaviddias/Front-End-Checklist74k—~514Automated safety check: PassMIT
API Integrationsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Labarchive Integrationdavila7/claude-code-templates32k10 repos~2.3kAutomated safety check: PassMIT
Market Sizingphuryn/pm-skills27k—~1.1kAutomated safety check: PassMIT
Add Effectremotion-dev/remotion63k—~2.8kAutomated safety check: PassCustom licence

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Questions about C5

What does C5 do?

Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. C5 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Meta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis.

How do I install C5 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c5 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/c5 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/c5 in your project. Claude Code loads it when a task matches its description.

How do I install C5 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c5 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/c5 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/c5 in your project. Codex loads it when a task matches its description.

Can I use C5 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 c5 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/c5, .gemini/skills/c5, .github/skills/c5 and .opencode/skills/c5 in your project.

What does C5 need to run?

SKILL.md names no scripts, command-line tools or credentials: C5 is instructions for the agent only. Our summary lists: Python 3.

Does C5 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 C5 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 C5 use?

C5 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 C5 use?

About 3.6k tokens (SKILL.md is roughly 15k 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 C5?

Skills that share tags, products or a category with C5: Integration Testing (thedaviddias/Front-End-Checklist, 74k stars), API Integration (sickn33/agentic-awesome-skills, 47k stars), Labarchive Integration (davila7/claude-code-templates, 32k stars) and Market Sizing (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains C5?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 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.