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Agent skill

Dataset Analysis

by bionic-gpt in bionic-gpt/bionic-gpt

Use assistant datasets for grounded answers with rag-search and rag-read.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Dataset Analysis

skills CLI
$ npx skills add bionic-gpt/bionic-gpt --skill dataset-analysis -a claude-code

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

GitHub CLI
$ gh skill install bionic-gpt/bionic-gpt dataset-analysis --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/bionic-gpt/bionic-gpt.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/builtin-skills/skills/dataset-analysis .claude/skills/dataset-analysis && 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
dataset-analysis
GitHub stars
2.4k
Token cost
~134 tokens
SKILL.md length
62 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use assistant datasets for grounded answers with rag-search and rag-read.

  • Works in 4 steps: Inspect /home/user/datasets/index.json… → Use rag-search "query" --limit N to find… → Read returned chunk paths with rag-read… → …
  • Tasks that involve Retrieval-augmented generation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dataset Analysis is an agent skill from bionic-gpt/bionic-gpt. Use assistant datasets for grounded answers with rag-search and rag-read.

Its SKILL.md is about 130 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 Retrieval-augmented generation. The repository describes itself as: Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Retrieval-augmented generation

Example prompts

  • “/dataset-analysis”

Workflow steps

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

  1. Inspect /home/user/datasets/index.json to see available datasets.
  2. Use rag-search "query" --limit N to find relevant chunks.
  3. Read returned chunk paths with rag-read PATH or cat PATH.
  4. Answer from the retrieved evidence. Say when the datasets do not contain enough information.

What it can do on your machine

Read from SKILL.md and the folder at commit c155c00. 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

Dataset Analysis loads about 134 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 62 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~134

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

The full file from bionic-gpt/bionic-gpt at commit c155c00, republished under its Apache-2.0 licence (© bionic-gpt). 62 words, ~134 tokens.

Download SKILL.mdSave it as .claude/skills/dataset-analysis/SKILL.md (or your agent's skills folder).
name
dataset-analysis
description
Use assistant datasets for grounded answers with rag-search and rag-read.

Dataset Analysis

Use this skill when the user asks a question that should be answered from the assistant's datasets.

  1. Inspect /home/user/datasets/index.json to see available datasets.
  2. Use rag-search "query" --limit N to find relevant chunks.
  3. Read returned chunk paths with rag-read PATH or cat PATH.
  4. Answer from the retrieved evidence. Say when the datasets do not contain enough information.

© bionic-gpt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/builtin-skills/skills/dataset-analysis of bionic-gpt/bionic-gpt.

Open the folder on GitHubat commit c155c00

Compare with similar skills

Dataset Analysis 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.

Dataset Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dataset Analysis this skillbionic-gpt/bionic-gpt2.4k—~134Automated safety check: PassApache-2.0
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence
MCP Local RAGshinpr/mcp-local-rag407—~4.4kAutomated safety check: PassMIT
Ms Agent Framework RAGshuyu-labs/WebCode278—~1.1kAutomated safety check: PassCustom licence

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Categories

Questions about Dataset Analysis

What does Dataset Analysis do?

Use assistant datasets for grounded answers with rag-search and rag-read. Dataset Analysis is an agent skill from bionic-gpt/bionic-gpt. Use assistant datasets for grounded answers with rag-search and rag-read.

When should I use Dataset Analysis?

Dataset Analysis fits situations like: tasks that involve Retrieval-augmented generation.

How do I install Dataset Analysis in Claude Code?

Run `npx skills add bionic-gpt/bionic-gpt --skill dataset-analysis -a claude-code`. Or copy the skill folder (crates/builtin-skills/skills/dataset-analysis in bionic-gpt/bionic-gpt) into .claude/skills/dataset-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Dataset Analysis in Codex?

Run `npx skills add bionic-gpt/bionic-gpt --skill dataset-analysis -a codex`. Or copy the skill folder (crates/builtin-skills/skills/dataset-analysis in bionic-gpt/bionic-gpt) into .agents/skills/dataset-analysis in your project. Codex loads it when a task matches its description.

Can I use Dataset Analysis 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 bionic-gpt/bionic-gpt --skill dataset-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataset-analysis, .gemini/skills/dataset-analysis, .github/skills/dataset-analysis and .opencode/skills/dataset-analysis in your project.

What does Dataset Analysis need to run?

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

Does Dataset Analysis 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 Dataset Analysis 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 Dataset Analysis use?

Dataset Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dataset Analysis use?

About 134 tokens (SKILL.md is roughly 536 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 Dataset Analysis?

Skills that share tags, products or a category with Dataset Analysis: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and MCP Local RAG (shinpr/mcp-local-rag, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dataset Analysis?

bionic-gpt (a GitHub organization) maintains it in bionic-gpt/bionic-gpt, which has 2,383 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: bionic-gpt/bionic-gpt on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.