aws-samples/sample-kiro-cli-prompts-for-product-teams is a toolkit of steering files that guides Kiro, an AI-powered IDE, through product-development work from idea to interactive prototype. It supports activities such as market research, PRFAQ and PRD creation, and production of standalone HTML prototypes for sharing with stakeholders. The catalogue entries provide the agents, skills, instructions, settings, hooks, and rules that implement this workflow.
Borrowing it
Nothing to install: this file belongs to aws-samples/sample-kiro-cli-prompts-for-product-teams. 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/sample-kiro-cli-prompts-for-product-teams/main/.claude/agents/prd.mdgit clone --depth 1 https://github.com/aws-samples/sample-kiro-cli-prompts-for-product-teamsWrote 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/agents/aws-samples/sample-kiro-cli-prompts-for-product-teams/prd)<a href="https://agentmods.dev/agents/aws-samples/sample-kiro-cli-prompts-for-product-teams/prd"><img src="https://agentmods.dev/badge/agents/aws-samples/sample-kiro-cli-prompts-for-product-teams/prd.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.00266 |
| Opus 5 | $0.00023 | $0.00133 |
| Sonnet 5 | $0.00009 | $0.00053 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
prd 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 8d 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.
- 8d ago First seen · 15 lines · 47 tokens per session scan A c45694c68a08
prd is an agent published in the GitHub repository aws-samples/sample-kiro-cli-prompts-for-product-teams (43 stars, last pushed 1mo ago), licensed MIT-0. It adds 47 tokens to every session and 266 once invoked, about $0.0002 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.
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code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.