Borrowing it
Nothing to install: this file belongs to sfc-gh-dflippo/snowflake-dbt-demo. 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/sfc-gh-dflippo/snowflake-dbt-demo/main/AGENTS.mdgit clone --depth 1 https://github.com/sfc-gh-dflippo/snowflake-dbt-demoWrote 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/sfc-gh-dflippo/snowflake-dbt-demo/agents-md)<a href="https://agentmods.dev/instructions/sfc-gh-dflippo/snowflake-dbt-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-dflippo/snowflake-dbt-demo/agents-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/sfc-gh-dflippo/snowflake-dbt-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-dflippo/snowflake-dbt-demo/agents-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 | $0.10406 | $0.10406 |
| Opus 5 | $0.05203 | $0.05203 |
| Sonnet 5 | $0.02081 | $0.02081 |
| Haiku 4.5 | $0.01041 | $0.01041 |
Grade C, and why
snowflake-dbt-demo AGENTS.md scanned grade C with 2 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 10d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
**dbt install**: Use the Fusion installer — macOS/Linux: `curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update`; Windows PowerShell: `irm https://public.cdn.getdbt.com/fs/install/install.ps1 Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**dbt install**: Use the Fusion installer — macOS/Linux: `curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update`; Windows PowerShell: `irm https://public.cdn.getdbt.com/fs/install/install.ps1 How it starts
The opening of the file, as written. The whole thing — 1,096 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Context and guidelines for AI coding agents working on this dbt + Snowflake data engineering project.
Project Context
This is a modern data engineering project built with dbt 2.0 (Fusion engine) and Snowflake, implementing industry best practices for analytics engineering.
Technology Stack
Core Technologies
- dbt (Fusion engine, dbt 2.0): data transformation framework with built-in Snowflake adapter
- Snowflake: Relational database
- Streamlit in Snowflake: Preferred graphical user interface (if needed)
- Schemachange: CI/CD for database objects outside dbt
- Python: 3.11+ with Snowpark for advanced analytics and ML models
dbt install: Use the Fusion installer — macOS/Linux: curl -fsSL https://public.cdn.getdbt.com/fs/install/install.sh | sh -s -- --update; Windows PowerShell: irm https://public.cdn.getdbt.com/fs/install/install.ps1 | iex. For the Snowflake managed runtime, run SELECT SYSTEM$SUPPORTED_DBT_VERSIONS(); to see supported versions and pin with DBT_VERSION (≥ 2.0 selects the Fusion engine). See dbt Projects on Snowflake.
Key dbt Packages
- dbt_constraints: Database-level constraint enforcement (primary keys, foreign keys)
- dbt_utils: Utility macros and helper functions for common transformations
- dbt_artifacts: dbt logging to Snowflake database tables
Development Tools
- Snowflake CLI (
snowcommand): Execution of database commands and scripts - dbt Projects on Snowflake: Preferred execution environment when not developing locally
- conda and uv: Preferred Python package managers
- schemachange: Preferred CI/CD deployment tool for non-dbt objects (procedures, UDF, tasks, etc.)
- Taskmaster AI: Task-driven development workflow management
- Git: Version control with feature branch strategy
- Playwright: Testing GUI applications
Agent Guidelines and Constraints
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.
- 10d ago First seen · 1,096 lines · 10,406 tokens per session scan C 4d6c5b300cef
snowflake-dbt-demo AGENTS.md is an instructions file published in the GitHub repository sfc-gh-dflippo/snowflake-dbt-demo (33 stars, last pushed yesterday), licensed Apache-2.0. It adds 10,406 tokens to every session, about $0.0520 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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