sample-sagemaker-agentic-analyst AGENTS.md

A set of project instructions for an AI coding agent working in the aws-samples/sample-sagemaker-agentic-analyst repository. It covers development, documentation, writing guidance, and where different information belongs.

In plain words
What is it for?
Guiding development work, documentation updates, and decisions about how and where to write project content.
Why use it?
It gives the agent repository-specific rules, reducing the chance that it puts content in the wrong place or ignores the project’s working principles.

Instructions file for CodexOpenCode

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 instructions/aws-samples/sample-sagemaker-agentic-analyst/agents-md
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-sagemaker-agentic-analyst

Made for: Codex, OpenCode.

Per session 3,538 This file is loaded in full into every session.
When invoked 3,538 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.03538 $0.03538
Opus 5 $0.01769 $0.01769
Sonnet 5 $0.00708 $0.00708
Haiku 4.5 $0.00354 $0.00354

Measured 2d ago against content hash 807970622b34, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sample-sagemaker-agentic-analyst 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 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.

AGENTS.md · 242 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 242 lines · 3,538 tokens per session scan A 807970622b34

Subscribe to this mod's changes

sample-sagemaker-agentic-analyst AGENTS.md is an instructions file published in the GitHub repository aws-samples/sample-sagemaker-agentic-analyst (11 stars, last pushed 4d ago), licensed MIT-0. It adds 3,538 tokens to every session, about $0.0177 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.