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Agent skill

I3

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

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…

Custom licenceAuto-check passedAI & LLM Engineering

Install I3

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i3 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills i3 --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/i3 .claude/skills/i3 && 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
i3
GitHub stars
4.5k
Token cost
~1.8k tokens
SKILL.md length
432 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…

  • Works in 3 steps: REPORT build status → ASK if user wants to proceed → CONFIRM RAG is ready for queries
  • Creating vector database
  • SKILL.md covers ⛔ Prerequisites (v8.2 — MCP…, Overview, Zero-Cost Stack and Input Schema, plus 13 more sections
  • Calls python

What it does

I3 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5 (Parallel Document Processor) capabilities Use when: building RAG, creating vector database, downloading PDFs, embedding documents, batch processing Triggers: build RAG, create vector database, download PDFs, embed documents, batch PDF processing

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Embeddings, PDF and Retrieval-augmented generation. 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

  • Creating vector database
  • Downloading PDFs
  • Embedding documents
  • Batch processing Triggers: build RAG

Example prompts

  • “/i3”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. REPORT build status
  2. ASK if user wants to proceed
  3. CONFIRM RAG is ready for queries

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

    Shell commands in SKILL.md call:

    • python

    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

I3 loads about 1.8k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 432 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
~1.8k

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 432 words (~1,781 tokens).

“diverga_check_prerequisites("i3") → 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
i3
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/i3 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

I3 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.

I3 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
I3 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.8kAutomated safety check: PassCustom licence
Paidf Curation And RetrievalNVIDIA/skills3.5k—~3.5kAutomated safety check: PassApache-2.0
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k7 repos~2.3kAutomated safety check: PassMIT
Ms Agent Framework RAGshuyu-labs/WebCode278—~1.1kAutomated safety check: PassCustom licence
Pgvector Semantic Searchtimescale/pg-aiguide1.9k—~3.8kAutomated safety check: PassApache-2.0
RAG Implementationwshobson/agents40k9 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about I3

What does I3 do?

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5…. I3 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use I3?

I3 fits situations like: creating vector database; downloading PDFs; embedding documents; batch processing Triggers: build RAG.

How do I install I3 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i3 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/i3 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/i3 in your project. Claude Code loads it when a task matches its description.

How do I install I3 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i3 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/i3 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/i3 in your project. Codex loads it when a task matches its description.

Can I use I3 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 i3 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/i3, .gemini/skills/i3, .github/skills/i3 and .opencode/skills/i3 in your project.

What does I3 need to run?

Going by SKILL.md and its folder, I3 needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does I3 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 I3 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 I3 use?

I3 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 I3 use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 I3?

Skills that share tags, products or a category with I3: Paidf Curation And Retrieval (NVIDIA/skills, 3.5k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Ms Agent Framework RAG (shuyu-labs/WebCode, 278 stars) and Pgvector Semantic Search (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains I3?

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.