Borrowing it
Nothing to install: this file belongs to typedef-ai/ade-bench-plugin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/typedef-ai/ade-bench-plugin/main/CLAUDE.mdgit clone --depth 1 https://github.com/typedef-ai/ade-bench-pluginWrote 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.
[](https://agentmods.dev/instructions/typedef-ai/ade-bench-plugin/claude-md)<a href="https://agentmods.dev/instructions/typedef-ai/ade-bench-plugin/claude-md"><img src="https://agentmods.dev/badge/instructions/typedef-ai/ade-bench-plugin/claude-md/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.
<a href="https://agentmods.dev/instructions/typedef-ai/ade-bench-plugin/claude-md"><img src="https://agentmods.dev/badge/instructions/typedef-ai/ade-bench-plugin/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.01477 | $0.01477 |
| Opus 5.5 | $0.00591 | $0.00591 |
| Sonnet 5.5 | $0.00295 | $0.00295 |
| Haiku 4.5 | $0.00148 | $0.00148 |
Grade A, and why
ade-bench-plugin 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this repository is
This is a Claude Code plugin (no application code, no build system, no tests). It ships configuration that is loaded by Claude Code in another user session — markdown skill/agent definitions plus knowledge/pattern data files. There is nothing to compile, run, or unit-test here. "Running" the plugin means: a user installs it, invokes a slash command (/ade-bench:plan-tasks or /ade-bench:create-task) inside their own dbt project, and Claude executes the instructions in skills/*/SKILL.md.
The plugin's purpose is to generate ADE-Bench benchmark tasks from a user's own dbt project. ADE-Bench tasks follow a setup/solve/verify pattern: a unified-diff patch introduces a bug into a working dbt model, the agent under test sees a symptom-only prompt, and pass/fail is determined by dbt tests + comparison of the output table against a seed CSV.
Repository layout and how the pieces interact
.claude-plugin/
plugin.json # Plugin manifest — name is "ade-bench" (the slash-command namespace)
marketplace.json # Local marketplace pointer — lets `claude plugin marketplace add <repo-path>` work
commands/ # Thin slash-command wrappers (so `/ade-bench:plan-tasks` etc. show in autocomplete)
skills/
plan-tasks/SKILL.md # Interactive pair-planning skill (the recommended path)
create-task/SKILL.md # Automated pipeline skill — invokes the discover-project agent
setup/SKILL.md # Installs ade-bench at ~/.ade-bench when missing; both skills above auto-invoke this on first use
agents/
discover-project.md # Read-only sub-agent used by create-task to scan a dbt project
knowledge/ # Prose .md files — used by plan-tasks as reasoning material
patterns/ # Structured .yaml files — used by create-task for token matching
example-output/ # Sample of what a generated task directory looks like
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.
- 2mo ago First seen · 60 lines · 1,477 tokens per session scan A 657d0e24d784
ade-bench-plugin CLAUDE.md is an instructions file published in the GitHub repository typedef-ai/ade-bench-plugin (3 stars, last pushed 5mo ago), licensed MIT. It adds 1,477 tokens to every session, about $0.0059 per session on Opus 5.5. 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.
Other instructions, from other repositories
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.