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Agent skill

Research Intake

by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills

Bidirectional review — THE entry point for every research engagement.

Custom licenceAuto-check passedEducation

Install Research Intake

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills research-intake --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/61-phdemotions-research-methods/skills/research-intake .claude/skills/research-intake && 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
research-intake
GitHub stars
4.6k
Token cost
~1.3k tokens
SKILL.md length
569 words
Files
6 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Bidirectional review — THE entry point for every research engagement.

  • Works in 7 steps: Discover the project → Load the rubrics → Outward review (gap analysis) → …
  • The user says I have data
  • SKILL.md covers How to run this review, Session-end mode, Voice and Argument handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Intake is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Bidirectional review — THE entry point for every research engagement. Reviews everything the researcher has (data, docs, code, instruments) and produces two outputs: (1) a gap analysis showing what their project needs to meet gold standards, and (2) suite-learning findings identifying what our skill suite can learn from what they brought. Runs at the START of every engagement and in lighter form at session END. Use when the user says "I have data," "review what I have," "where do I start," "look at my project,"…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/criteria.md`, `references/principles.md` and `references/suite-learning.md`).

It sits in Education. 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

  • The user says I have data
  • Review what I have
  • Where do I start
  • Look at my project

Example prompts

  • “I have data,”
  • “review what I have,”
  • “where do I start,”
  • “/research-intake”

Workflow steps

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

  1. Discover the project
  2. Load the rubrics
  3. Outward review (gap analysis)
  4. Inward review (suite learning)
  5. Produce the gap report
  6. Produce suite-learning findings (if any)
  7. Print next steps

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.

    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

Research Intake loads about 1.3k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 173 tokens; SKILL.md has 569 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~173
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

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 569 words (~1,330 tokens).

“You are the first skill a researcher encounters. Your job is to look at everything they have — data, documentation, code, instruments — and produce two things: a clear picture of where they stand against gold standards, and a clear…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
research-intake
argument-hint
<path to project or data directory — defaults to current working directory>

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (references) in skills/61-phdemotions-research-methods/skills/research-intake of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/criteria.md
  • references/principles.md
  • references/suite-learning.md
  • references/templates/gap-report.md
  • references/templates/suite-learning-report.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Research Intake 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.

Research Intake compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Intake this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.3kAutomated safety check: PassCustom licence
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3544 repos~3.6kAutomated safety check: PassMIT
OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC40k—~1.7kAutomated safety check: NotesMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone

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Categories

Questions about Research Intake

What does Research Intake do?

Bidirectional review — THE entry point for every research engagement. Research Intake is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Bidirectional review — THE entry point for every research engagement.

When should I use Research Intake?

Research Intake fits situations like: the user says I have data; review what I have; where do I start; look at my project.

How do I install Research Intake in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-intake -a claude-code`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/research-intake in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/research-intake in your project. Claude Code loads it when a task matches its description.

How do I install Research Intake in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-intake -a codex`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/research-intake in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/research-intake in your project. Codex loads it when a task matches its description.

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

What does Research Intake need to run?

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

Does Research Intake 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 Research Intake 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 Research Intake use?

Research Intake 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 Research Intake use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.

What are the alternatives to Research Intake?

Skills that share tags, products or a category with Research Intake: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Intake?

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.