Borrowing it
Nothing to install: this file belongs to dbt-labs/dbt-autofix. 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/dbt-labs/dbt-autofix/main/AGENTS.mdgit clone --depth 1 https://github.com/dbt-labs/dbt-autofixWrote 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/dbt-labs/dbt-autofix/agents-md)<a href="https://agentmods.dev/instructions/dbt-labs/dbt-autofix/agents-md"><img src="https://agentmods.dev/badge/instructions/dbt-labs/dbt-autofix/agents-md.svg" alt="Measured on agentmods" 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 | $0.01321 | $0.01321 |
| Opus 5 | $0.00660 | $0.00660 |
| Sonnet 5 | $0.00264 | $0.00264 |
| Haiku 4.5 | $0.00132 | $0.00132 |
Grade A, and why
dbt-autofix 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 7d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Goals
- Make a pre-existing dbt project compatible with the new authoring layer, so it can parse and compile successfully on the Fusion engine.
- Preserve existing functionality as much as possible.
- Flag when the dbt project is using functionality that's not yet supported in Fusion, and ask users so they can choose whether to wait for feature support or remove use of unsupported features.
Migrating to the new authoring layer and the dbt Fusion engine
if a user says "migrate my dbt project to the new authoring layer" or "make my dbt project compatible with the Fusion engine" do the following steps and the migration is only successfully completed once dbtf compile finishes with 0 errors. Create a changes_made.md file documenting and summarizing all of the code changes made in the user's dbt project, including what the error was, the fix applied, and a summary of why the fix was chosen.
Before you begin, please read and understand the resources section below. You should strictly use the resources below to update the project.
- Run
dbtf debugin the terminal to check their data platform connections. Proceed to step 2 if there are no errors. If there are errors, please summarize the error succinctly so the user knows how to debug on their own. - Run
dbtf parse --show-all-deprecationsin the terminal to check for compatibility errors in their current project. Summarize the log output by specifying how many errors were found and group the errors in a way that's easily understandable. - Install dbt-autofix and run autofix to try to fix errors. Prefer uv/uvx to install (
uv tool install dbt-autofix) and run the package (uvx dbt-autofix deprecations), but fall back to pip and other methods if needed. Summarize the results of the autofix run and include how many errors were resolved. Rundbtf parseagain to check for remaining errors and summarize with how many errors were found and a brief summary of the types of errors. - For remaining errors, please ONLY use the resources below to attempt to resolve them. If you can't figure out a fix from the resources below, notify the user and break out of the flow. Attempt the fixes error by error, grouping similar errors based on the error code and message. You should also summarize which error you're working on in the chat to give users context.
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.
- 7d ago First seen · 73 lines · 1,321 tokens per session scan A 164bf8caae77
dbt-autofix AGENTS.md is an instructions file published in the GitHub repository dbt-labs/dbt-autofix (88 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1,321 tokens to every session, about $0.0066 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.
Other instructions, from other repositories
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.
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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.