sample-aws-genai-ops-demos: Instructions file for Kiro

.kiro/steering/solution-adoption-tracking.md

sample-aws-genai-ops-demos solution-adoption-tracking.md is an instructions file for Kiro from aws-samples/sample-aws-genai-ops-demos. It costs 2,657 tokens per session, scanned A, original, MIT-0.

Repository instructions for tracking how AWS generative-AI operations demos are adopted. They specify tracking IDs, tags, and implementation rules.

In plain words
What is it for?
Maintaining adoption-tracking requirements in the sample-aws-genai-ops-demos repository.
Why use it?
They give contributors a consistent way to record and identify demo adoption. The available details do not describe an executable tool.

Instructions file for Kiro ✓ vendor

Written for Kiro: installed under .kiro/.

This is aws-samples/sample-aws-genai-ops-demos's own configuration. It tells Kiro how to work on sample-aws-genai-ops-demos itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sample-aws-genai-ops-demos configures →

About the project

AWS GenAI for Operations Demos is a collection of deployable code samples showing generative AI applications for cloud operations, including security, cost optimization, resilience, and automation. Cloud operations teams can deploy the demonstrations as provided or adapt them to their environments.

aws-samples/sample-aws-genai-ops-demos · 67 stars · on GitHub · aws-samples.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to aws-samples/sample-aws-genai-ops-demos. 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/aws-samples/sample-aws-genai-ops-demos/main/.kiro/steering/solution-adoption-tracking.md
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-aws-genai-ops-demos

Made for: Kiro.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/aws-samples/sample-aws-genai-ops-demos/solution-adoption-tracking"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-aws-genai-ops-demos/solution-adoption-tracking/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/aws-samples/sample-aws-genai-ops-demos/solution-adoption-tracking"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-aws-genai-ops-demos/solution-adoption-tracking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,657 This file is loaded in full into every session.
When invoked 2,657 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 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 5.1 $0.02657 $0.02657
Opus 5.5 $0.01063 $0.01063
Sonnet 5.5 $0.00531 $0.00531
Haiku 4.5 $0.00266 $0.00266

Measured 3d ago against content hash 14f30d562d59, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sample-aws-genai-ops-demos solution-adoption-tracking.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 3d 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.

.kiro/steering/solution-adoption-tracking.md · 332 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. 3d ago Changed · -12 lines · -104 tokens per session 14f30d562d59
  2. 1mo ago Changed · +41 lines · +513 tokens per session 70a697ca3245
  3. 2mo ago First seen · 303 lines · 2,248 tokens per session scan A 5f32d40658ce

Subscribe to this mod's changes

sample-aws-genai-ops-demos solution-adoption-tracking.md is an instructions file published in the GitHub repository aws-samples/sample-aws-genai-ops-demos (67 stars, last pushed yesterday), licensed MIT-0. It adds 2,657 tokens to every session, about $0.0106 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 2026-09-07.

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