What is Sam-the-Snowman AGENTS.md?

Project-specific instructions for a notebook-based Snowflake learning project that builds a Cortex Agent using a fictional entertainment dataset. They describe the notebooks, data files, Snowflake objects, and coding standards.

Use them when editing course notebooks, generating or querying the sample data, changing SQL, or working with the project's Snowflake agent and evaluations.

They help an agent work within the project's teaching structure and use the expected Snowflake names and conventions.

How sfc-gh-miwhitaker/Sam-the-Snowman configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to sfc-gh-miwhitaker/Sam-the-Snowman. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/sfc-gh-miwhitaker/Sam-the-Snowman/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/sfc-gh-miwhitaker/Sam-the-Snowman

Made for: Codex, OpenCode.

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/sfc-gh-miwhitaker/sam-the-snowman/agents-md/github.svg)](https://agentmods.dev/instructions/sfc-gh-miwhitaker/sam-the-snowman/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/sfc-gh-miwhitaker/sam-the-snowman/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-miwhitaker/sam-the-snowman/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/sfc-gh-miwhitaker/sam-the-snowman/agents-md"><img src="https://agentmods.dev/badge/instructions/sfc-gh-miwhitaker/sam-the-snowman/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 861 This file is loaded in full into every session.

When invoked 861 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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 5.1	$0.00861	$0.00861
Opus 5.5	$0.00344	$0.00344
Sonnet 5.5	$0.00172	$0.00172
Haiku 4.5	$0.00086	$0.00086

Measured 2mo ago against content hash 7d45d66f1497, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Sam-the-Snowman 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 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.

AGENTS.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sam-the-Snowman (Walkthrough Edition)

Notebook-first learning project for building a Cortex Agent the right way:

naive baseline and 2) ontology-powered upgrade.

The domain is Drift Entertainment, a fully fictional deterministic dataset committed as Parquet in datasets/drift/.

Project Structure

notebooks/ -- Main course chapters (ch00 ... ch09)
notebooks/cookbook/ -- Optional chapter 7 expansions (7a ... 7g)
datasets/drift/ -- Generated Parquet inputs + dataset license
tools/generate_drift_data.py -- Deterministic dataset generator (fixed seed)
assets/ -- Reusable SQL snippets used by notebooks
evaluations/ -- Shared hard-question benchmark and evaluation config
docs/ -- GLOSSARY.md, TROUBLESHOOTING.md, ARCHITECTURE-POSTER.md

Snowflake Environment

Database: SNOWFLAKE_EXAMPLE
Schemas:
- SAM_DRIFT (everything project-specific: data, ontology, agent, evaluation tables)
- SEMANTIC_MODELS (shared semantic view catalog)
- GIT_REPOS (shared git repository registry)
Warehouse: SFE_SAM_SNOWMAN_WH
Agent: SNOWFLAKE_EXAMPLE.SAM_DRIFT.SAM_THE_SNOWMAN

Development Standards

SQL:
- Explicit columns and deterministic ordering in walkthrough examples
- Use stable date windows (2020-01-01 through 2024-12-31) for reproducibility
Objects:
- Every created object must include COMMENT = 'DEMO: ... (Expires: YYYY-MM-DD)'
- Keep SFE naming conventions (SFE_, SAM_, SV_SAM_, VW_ONT_, ONT_*)
Expiration (single source of truth):
- SSOT is the **Expires:** line + shields.io badge at the top of README.md
- Every (Expires: YYYY-MM-DD) COMMENT and the SET DEMO_EXPIRES = '...' banner in ch00 are derived — never hand-edit them
- To rotate the date: python tools/sync_expiration.py YYYY-MM-DD (or edit the README line then run with no args)
- CI/pre-commit friendly check: python tools/sync_expiration.py --check
Agent:
- Orchestration model must remain auto
- Base and ontology semantic view routing must be explicit in tool descriptions
Dataset:
- Do not add real-world artist/customer names
- Regenerate via tools/generate_drift_data.py with fixed seed

Read the full file on GitHub · 75 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.

2mo ago First seen · 75 lines · 861 tokens per session scan A 7d45d66f1497

Subscribe to this mod's changes

Sam-the-Snowman AGENTS.md is an instructions file published in the GitHub repository sfc-gh-miwhitaker/Sam-the-Snowman (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 861 tokens to every session, about $0.0034 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.

Data and AI Learning and teaching

Sam-the-Snowman AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
Sam-the-Snowman AGENTS.mdsfc-gh-miwhitaker/Sam-the-Snowman	Instructions file	2	6mo ago	Apache-2.0	A	861	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

Sam-the-Snowman: Instructions file for Codex