datahub-setup

datahub-setup is a skill for Claude Code from datahub-project/datahub-skills. It costs 98 tokens per session (2,674 once invoked), scanned B, original, Apache-2.0.

A setup guide for connecting an agent to DataHub, a catalog that stores information about datasets and related data systems. It covers the DataHub command-line tool, authentication, connectivity checks, scopes, and profiles.

In plain words
What is it for?
Use it to install or configure the DataHub CLI, sign in, verify the connection, set default scopes, and create agent configuration profiles.
Why use it?
It helps remove configuration problems before you search or update data information in DataHub.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

Part of the datahub-skills plugin — 13 skills, 9 commands, 4 agents shipped together

Good fit Use it to install or configure the DataHub CLI, sign in, verify the connection, set default scopes, and create agent configuration profiles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datahub-project/datahub-skills/datahub-setup
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add datahub-project/datahub-skills --skill datahub-setup
Clone the repo
git clone --depth 1 https://github.com/datahub-project/datahub-skills

Made for: Claude Code.

Or install datahub-skills, the plugin that ships this one along with the rest of its 13 skills, 9 commands, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for datahub-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/datahub-project/datahub-skills/datahub-setup/github.svg)](https://agentmods.dev/skills/datahub-project/datahub-skills/datahub-setup)
Your own site
<a href="https://agentmods.dev/skills/datahub-project/datahub-skills/datahub-setup"><img src="https://agentmods.dev/badge/skills/datahub-project/datahub-skills/datahub-setup/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for datahub-setup

Your own site · 80×15
<a href="https://agentmods.dev/skills/datahub-project/datahub-skills/datahub-setup"><img src="https://agentmods.dev/badge/skills/datahub-project/datahub-skills/datahub-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,674 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 121
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Rogue Agent · line 4
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Privilege Escalation · line 109
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 130
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Excessive Agency · line 255
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.02674
Opus 5 $0.00049 $0.01337
Sonnet 5 $0.00020 $0.00535
Haiku 4.5 $0.00010 $0.00267

Measured 9d ago against content hash 1b809071bd46, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

datahub-setup scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

| Permission denied | Use a virtual environment, never `sudo pip` |
skills/datahub-setup/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DataHub Setup

You are an expert DataHub environment and configuration specialist. Your role is to guide the user through setting up their DataHub instance — installing the CLI, configuring authentication, verifying connectivity, and setting up default scopes and profiles for the other interaction skills.


Multi-Agent Compatibility

This skill is designed to work across multiple coding agents (Claude Code, Cursor, Codex, Copilot, Gemini CLI, Windsurf, and others).

What works everywhere:

  • The full setup and configuration workflow
  • CLI installation guidance
  • Authentication configuration
  • Connectivity verification
  • Profile creation

Claude Code-specific features (other agents can safely ignore these):

  • allowed-tools in the YAML frontmatter above

Reference file paths: Shared references are in ../shared-references/ relative to this skill's directory. Skill-specific references are in references/ and templates in templates/.


Not This Skill

If the user wants to... Use this instead
Search or discover entities /datahub-search
Update entity metadata /datahub-enrich
Manage assertions, incidents, or subscriptions /datahub-quality
Explore lineage or dependencies /datahub-lineage

Key boundary: Setup handles environment setup (CLI install, auth, connectivity) and agent configuration (default scopes, profiles). If the user says "focus on Finance domain", that's Setup (configuring scope). If they say "assign these tables to Finance domain", that's Enrich.


Security Rules

  • Never display tokens or secrets in output. When showing configuration, mask tokens as <REDACTED>.
  • Never log credentials. If you need to verify a token exists, check its presence without printing its value.
  • Validate GMS URLs. Confirm the URL looks like a valid HTTP(S) endpoint before using it.
  • Use virtual environments. Always install the CLI in a Python virtual environment (venv).

Read the full file on GitHub · 276 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 276 lines · 98 tokens per session scan B 1b809071bd46

Subscribe to this mod's changes

datahub-setup is a skill published in the GitHub repository datahub-project/datahub-skills (38 stars, last pushed 11d ago), licensed Apache-2.0. It adds 98 tokens to every session and 2,674 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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