setup

A setup command for the ADE-Bench testing harness. The harness is the software that runs benchmark tasks against AI agents and data projects.

In plain words
What is it for?
Cloning the ADE-Bench repository, installing its command-line tool, and downloading the included DuckDB databases.
Why use it?
It installs or verifies the required harness and prepares its bundled DuckDB databases, avoiding manual setup steps.

Command

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 commands/typedef-ai/ade-bench-plugin/setup
Clone the repo
git clone --depth 1 https://github.com/typedef-ai/ade-bench-plugin
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 106 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00027 $0.00106
Opus 5 $0.00014 $0.00053
Sonnet 5 $0.00005 $0.00021
Haiku 4.5 $0.00003 $0.00011

Measured 2d ago against content hash 49a9ee54ea37, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup 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 2d 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.

commands/setup.md · 9 lines

What it actually says

Invoke the setup skill (defined at skills/setup/SKILL.md in this plugin) with the following arguments: $ARGUMENTS

The skill is the source of truth for the install procedure — read it and follow every step in order. Pass through any --path argument verbatim.

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. 2d ago First seen · 9 lines · 27 tokens per session scan A 49a9ee54ea37

Subscribe to this mod's changes

setup is a command published in the GitHub repository typedef-ai/ade-bench-plugin (3 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 106 once invoked, about $0.0001 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 2026-08-31.