AWS Samples AppMod Blueprints is a platform-engineering solution for modernizing applications and providing developer self-service on Amazon EKS. Organizations use it to explore application blueprints, GitOps workflows, developer portals, and progressive delivery through an associated workshop. The catalogue add-ons expose the repository’s platform-engineering workflows as agent skills and agents.
Borrowing it
Nothing to install: this file belongs to aws-samples/appmod-blueprints. 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/aws-samples/appmod-blueprints/main/.kiro/steering/ml-ai-workloads.mdgit clone --depth 1 https://github.com/aws-samples/appmod-blueprintsWrote 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/aws-samples/appmod-blueprints/ml-ai-workloads)<a href="https://agentmods.dev/instructions/aws-samples/appmod-blueprints/ml-ai-workloads"><img src="https://agentmods.dev/badge/instructions/aws-samples/appmod-blueprints/ml-ai-workloads/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/aws-samples/appmod-blueprints/ml-ai-workloads"><img src="https://agentmods.dev/badge/instructions/aws-samples/appmod-blueprints/ml-ai-workloads.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 | $0.01220 | $0.01220 |
| Opus 5.5 | $0.00488 | $0.00488 |
| Sonnet 5.5 | $0.00244 | $0.00244 |
| Haiku 4.5 | $0.00122 | $0.00122 |
Grade A, and why
appmod-blueprints ml-ai-workloads.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.
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.
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 · 240 lines · 1,220 tokens per session scan A 1b6278bd6be4
appmod-blueprints ml-ai-workloads.md is an instructions file published in the GitHub repository aws-samples/appmod-blueprints (123 stars, last pushed yesterday), licensed MIT-0. It adds 1,220 tokens to every session, about $0.0049 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.
appmod-blueprints ml-ai-workloads.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| appmod-blueprints ml-ai-workloads.mdaws-samples/appmod-blueprints | Instructions file | 123 | yesterday | MIT-0 | A | 1,220 | Kiro |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |