What is ade-bench CLAUDE.md?

Repository instructions for ADE-Bench, a framework that evaluates AI agents on data-analysis and data-engineering tasks. It uses dbt, SQL, databases, containers, and result-checking queries rather than general software tests alone.

Use them when adding or changing benchmark tasks, datasets, Docker environments, dbt workflows, SQL result checks, or experiment runs.

They explain the project’s benchmark structure and how database-backed tasks are executed and validated.

ade-bench CLAUDE.md — Instructions file for coding agents by dbt-labs: Repository instructions for ADE-Bench, a framework that evaluates AI…

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/dbt-labs/ade-bench/claude-md

Clone the repo

git clone --depth 1 https://github.com/dbt-labs/ade-bench

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/dbt-labs/ade-bench/claude-md.svg)](https://agentmods.dev/instructions/dbt-labs/ade-bench/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/dbt-labs/ade-bench/claude-md"><img src="https://agentmods.dev/badge/instructions/dbt-labs/ade-bench/claude-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 1,359 This file is loaded in full into every session.

When invoked 1,359 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.

Model	Per session	Once invoked
Fable 5	$0.01359	$0.01359
Opus 5	$0.00679	$0.00679
Sonnet 5	$0.00272	$0.00272
Haiku 4.5	$0.00136	$0.00136

Measured 5d ago against content hash 50eae97107c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ade-bench CLAUDE.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 5d 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.

CLAUDE.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - ADE-Bench Development Notes

Project Overview

ADE-Bench (Analytics and Data Engineering Benchmark) is a benchmarking framework for evaluating AI agents on data analyst tasks. It's modeled after terminal-bench but specialized for dbt and SQL workflows.

Key Differences from Terminal-Bench

Containers: Include dbt + database (DuckDB/SQLite/PostgreSQL) instead of general dev environments
Tests: SQL queries validate results instead of pytest
Tasks: Focus on data transformations, aggregations, and analytics

Architecture

Core Components

harness.py: Main orchestrator for running benchmarks
trial_handler.py: Manages individual task execution
sql_parser.py: Validates task results using SQL queries
docker_compose_manager.py: Handles dbt/database containers

Directory Structure

ade-bench/
├── ade_bench/          # Core Python package
├── tasks/              # Individual task definitions
├── docker/base/        # Base Docker images
├── shared/defaults/    # Default configurations
├── experiments/        # Benchmark results
└── datasets/           # Dataset configurations

Task Structure

Each task contains:

task.yaml: Metadata and configuration
dbt_project/: dbt project files
tests/: SQL validation queries
expected/: Expected query results
solution.sh: Reference solution
Dockerfile: Container setup (optional, uses defaults)

Running Commands

Create a new task:

uv run wizard

Run benchmarks:

# With sage agent
uv run scripts_python/run_harness.py --agent sage --task-ids task1 task2

Key Parameters:

--agent: Agent type (sage, claude, codex, gemini, etc.)
--model: LLM model for AI agents
--dataset-config: YAML file defining task collection
--n-concurrent-trials: Parallel execution (default: 4)
--no-rebuild: Skip Docker rebuilds
--cleanup: Remove Docker resources after run
--plugin-set: Plugin set names from experiment_sets/plugin-sets.yaml (space-separated). Controls skills, MCP servers, and allowed tools. Defaults to none (no plugins).

Read the full file on GitHub · 184 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.

5d ago First seen · 184 lines · 1,359 tokens per session scan A 50eae97107c9

Subscribe to this mod's changes

ade-bench CLAUDE.md is an instructions file published in the GitHub repository dbt-labs/ade-bench (122 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,359 tokens to every session, about $0.0068 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.

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

ade-bench CLAUDE.md