Agent skill

Volcengine Datapro

by PKU-YuanGroup in PKU-YuanGroup/OpenAI4S

Discover and call the configured Volcengine DataPro dataProsearch(query:string) MCP tool for professional-dataset queries.

MITAuto-check passedAgent Workflows

Install Volcengine Datapro

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a claude-code

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

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro --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/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/volcengine-datapro .claude/skills/volcengine-datapro && 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/

Paste into Claude Code

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .claude/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/volcengine-datapro .agents/skills/volcengine-datapro && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .agents/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/volcengine-datapro .cursor/skills/volcengine-datapro && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .cursor/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/PKU-YuanGroup/OpenAI4S.git --path skills/volcengine-datapro

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/volcengine-datapro .gemini/skills/volcengine-datapro && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .gemini/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/volcengine-datapro .github/skills/volcengine-datapro && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .github/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install PKU-YuanGroup/OpenAI4S volcengine-datapro --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/volcengine-datapro .opencode/skills/volcengine-datapro && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "volcengine-datapro" agent skill from https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/volcengine-datapro into .opencode/skills/volcengine-datapro/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volcengine-datapro", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: volcengine-datapro
GitHub stars: 620
Token cost: ~693 tokens
SKILL.md length: 111 words
Files: 3
Skills in repo: 17
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Discover and call the configured Volcengine DataPro dataProsearch(query:string) MCP tool for professional-dataset queries.

Tasks that involve MCP servers
SKILL.md covers Input and Discover and search
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Volcengine Datapro is an agent skill from PKU-YuanGroup/OpenAI4S. Discover and call the configured Volcengine DataPro dataProsearch(query:string) MCP tool for professional-dataset queries.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `README_zh.md`).

It sits in Agent Workflows, covering MCP servers. The repository describes itself as: Open-source AI agent for scientific research. Analyze data in Python/R with Claude, GPT, Gemini, and more. The licence is MIT.

When your agent uses it

Tasks that involve MCP servers

Example prompts

“/volcengine-datapro”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 4a72e87. 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).
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

Volcengine Datapro loads about 693 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 111 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~36
When it runs · the whole SKILL.md, loaded when a task matches: ~693

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 PKU-YuanGroup/OpenAI4S at commit 4a72e87, republished under its MIT licence (© PKU-YuanGroup). 111 words, ~693 tokens.

Download SKILL.mdSave it as .claude/skills/volcengine-datapro/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: volcengine-datapro
description: Discover and call the configured Volcengine DataPro dataPro_search(query:string) MCP tool for professional-dataset queries.
origin: openai4s

Volcengine DataPro

Use only the volcengine-datapro connector and its dataPro_search tool.

Input

Accept one non-empty string named query.

Discover and search

Run this workflow in a Python cell:

python

if type(query) is not str or not query.strip():
    raise ValueError("query must be a non-empty string")

discovery = host.mcp.tools("volcengine-datapro")
tools = discovery.get("tools") if isinstance(discovery, dict) else None
if not isinstance(tools, list) or not any(
    isinstance(tool, dict) and tool.get("name") == "dataPro_search"
    for tool in tools
):
    raise RuntimeError("dataPro_search is not available on volcengine-datapro")

result = host.mcp.call(
    "volcengine-datapro",
    "dataPro_search",
    {"query": query},
)
raw = result.get("raw") if isinstance(result, dict) else None
structured = raw.get("structuredContent") if isinstance(raw, dict) else None
code = structured.get("code") if isinstance(structured, dict) else None

if type(code) is int and code == 0:
    index = result.get("index") if isinstance(result, dict) else None
    complete = (
        isinstance(index, dict)
        and index.get("complete") is True
        and type(index.get("source_leaf_count")) is int
        and type(index.get("indexed_leaf_count")) is int
        and index.get("source_leaf_count") == index.get("indexed_leaf_count")
        and isinstance(index.get("source_digest"), str)
        and index.get("source_digest") == index.get("indexed_digest")
    )
    if not complete:
        raise RuntimeError("专业数据集本次返回内容未完整索引")
    print("专业数据集可用")
elif type(code) is int and code == 4011:
    raise RuntimeError("Key 无效、额度不足，或者专业数据集 Harness 未开启。")
else:
    raise RuntimeError(f"专业数据集不可用（code={code!r}）")

result

Discovery confirms only that the named tool is advertised. Never treat discovery as authentication or report 专业数据集可用 from it. Report that status only after the real search call returns an integer raw.structuredContent.code equal to 0; a boolean or string zero does not qualify. A successful call is reported as available only after its index receipt proves that every JSON leaf in this response was indexed. This receipt describes the current response; it is not a claim that the remote corpus was fully mirrored.

Files

SKILL.md and 2 other files in skills/volcengine-datapro of PKU-YuanGroup/OpenAI4S.

SKILL.md
README.md
README_zh.md

Open the folder on GitHubat commit 4a72e87

Compare with similar skills

Volcengine Datapro 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.

Volcengine Datapro compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Volcengine Datapro this skillPKU-YuanGroup/OpenAI4S	620	—	~693	Automated safety check: Pass	MIT	today
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	yesterday
MCP Server BuildershareAI-lab/learn-claude-code	78k	5 repos	~1.2k	Automated safety check: Pass	MIT	11 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	yesterday
Microsoft Skill CreatorMicrosoftDocs/mcp	1.9k	3 repos	~2.1k	Automated safety check: Pass	CC-BY-4.0	2 days ago
Crush Configurationcharmbracelet/crush	29k	—	~3.7k	Automated safety check: Pass	Custom licence	yesterday

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Questions about Volcengine Datapro

What does Volcengine Datapro do?

Discover and call the configured Volcengine DataPro dataProsearch(query:string) MCP tool for professional-dataset queries. Volcengine Datapro is an agent skill from PKU-YuanGroup/OpenAI4S. Discover and call the configured Volcengine DataPro dataProsearch(query:string) MCP tool for professional-dataset queries.

When should I use Volcengine Datapro?

Volcengine Datapro fits situations like: tasks that involve MCP servers.

How do I install Volcengine Datapro in Claude Code?

Run `npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a claude-code`. Or copy the skill folder (skills/volcengine-datapro in PKU-YuanGroup/OpenAI4S) into .claude/skills/volcengine-datapro in your project. Claude Code loads it when a task matches its description.

How do I install Volcengine Datapro in Codex?

Run `npx skills add PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a codex`. Or copy the skill folder (skills/volcengine-datapro in PKU-YuanGroup/OpenAI4S) into .agents/skills/volcengine-datapro in your project. Codex loads it when a task matches its description.

Can I use Volcengine Datapro 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 PKU-YuanGroup/OpenAI4S --skill volcengine-datapro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/volcengine-datapro, .gemini/skills/volcengine-datapro, .github/skills/volcengine-datapro and .opencode/skills/volcengine-datapro in your project.

What does Volcengine Datapro need to run?

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

Does Volcengine Datapro 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 Volcengine Datapro 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 Volcengine Datapro use?

Volcengine Datapro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Volcengine Datapro use?

About 693 tokens (SKILL.md is roughly 2.8k 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 Volcengine Datapro?

Skills that share tags, products or a category with Volcengine Datapro: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Microsoft Skill Creator (MicrosoftDocs/mcp, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Volcengine Datapro?

PKU-YuanGroup (a GitHub organization) maintains it in PKU-YuanGroup/OpenAI4S, which has 620 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.

Source: PKU-YuanGroup/OpenAI4S on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Volcengine Datapro

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Volcengine DataPro

Input

Discover and search

Files

Compare with similar skills

Similar skills

More from PKU-YuanGroup/OpenAI4S

Related

Questions about Volcengine Datapro