datahub AGENTS.md

The main development guide for DataHub, covering code navigation, build commands, testing, formatting, and language-specific work.

In plain words
What is it for?
It helps navigate the codebase, diagnose edits, build the project, run tests, lint files, and format Java, Python, GraphQL, Markdown, and YAML.
Why use it?
It tells agents how to find definitions and references and which commands keep changes checked and formatted.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/datahub-project/datahub/agents-md
Clone the repo
git clone --depth 1 https://github.com/datahub-project/datahub

Made for: Codex, OpenCode.

Per session 7,245 This file is loaded in full into every session.
When invoked 7,245 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.07245 $0.07245
Opus 5 $0.03623 $0.03623
Sonnet 5 $0.01449 $0.01449
Haiku 4.5 $0.00724 $0.00724

Measured 3d ago against content hash 878037f1fa6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

datahub AGENTS.md scanned grade A with 0 findings 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 3d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 720 lines

How it starts

The opening of the file, as written. The whole thing — 720 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DataHub — Agent Development Guide

This is the canonical reference for working with the DataHub codebase. It applies to all coding agents (Claude Code, Cursor, Codex CLI, Devin, etc.) and human developers alike.

Code Navigation (LSP)

Prefer LSP tools over Grep for code navigation tasks:

  • Use goToDefinition to find where something is defined
  • Use findReferences to find all call sites
  • Use workspaceSymbol to find symbols by name
  • Use diagnostics after any edit to catch type errors immediately

See docs/lsp-setup.md for installation and configuration.

Essential Commands

Build and test:

./gradlew build           # Build entire project
./gradlew check           # Run all tests (Python/JS lint lives in lint-jobs.yml / :module:lint)
./gradlew lintCheck       # Run all lint checks (Python, JS, GraphQL, markdown, Java)
./gradlew lintFix         # Auto-fix all lint issues
./gradlew format          # Format all code (Java, Markdown, GraphQL, YAML)

# Note that each directory typically has a build.gradle file, but the available tasks follow similar conventions.

# Java code.
./gradlew spotlessApply   # Java code formatting

# Python code.
./gradlew :metadata-ingestion:testQuick     # Fast Python unit tests
./gradlew :metadata-ingestion:lint          # Python linting (ruff, mypy)
./gradlew :metadata-ingestion:lintFix       # Python linting auto-fix (ruff only)

# Markdown, GraphQL, YAML formatting
./gradlew :datahub-web-react:mdPrettierWrite        # Format markdown files
./gradlew :datahub-web-react:graphqlPrettierWrite   # Format GraphQL schemas
./gradlew :datahub-web-react:githubActionsPrettierWrite # Format GitHub Actions

IMPORTANT: Verifying Python code changes:

  • ALWAYS use ./gradlew :metadata-ingestion:lintFix to verify Python code changes
  • NEVER use python3 -m py_compile - it doesn't catch style issues or type errors
  • NEVER use ruff or mypy commands directly - use the Gradle task instead
  • lintFix runs ruff formatting and fixing automatically, ensuring code quality
  • For smoke-test changes, the lintFix command will also check those files

Read the full file on GitHub · 720 lines

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. 3d ago First seen · 720 lines · 7,245 tokens per session scan A 878037f1fa6d

Subscribe to this mod's changes

datahub AGENTS.md is an instructions file published in the GitHub repository datahub-project/datahub (12,629 stars, last pushed yesterday), licensed Apache-2.0. It adds 7,245 tokens to every session, about $0.0362 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.