aws-samples/sample-agentic-chatbot-accelerator is a full-stack AWS system for designing, deploying, testing, and improving multi-agent chatbots with text, voice, retrieval, and evaluation components. Developers use its Agent Factory, managed runtime, web interface, tool and MCP-server connections, and feedback workflows, with the catalogue containing add-ons for working with the accelerator.
Borrowing it
Nothing to install: this file belongs to aws-samples/sample-agentic-chatbot-accelerator. 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-agentic-chatbot-accelerator/main/.claude/skills/prep-pr/SKILL.mdgit clone --depth 1 https://github.com/aws-samples/sample-agentic-chatbot-acceleratorWrote 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/skills/aws-samples/sample-agentic-chatbot-accelerator/prep-pr)<a href="https://agentmods.dev/skills/aws-samples/sample-agentic-chatbot-accelerator/prep-pr"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-agentic-chatbot-accelerator/prep-pr/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/skills/aws-samples/sample-agentic-chatbot-accelerator/prep-pr"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-agentic-chatbot-accelerator/prep-pr.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 | $0.00103 | $0.03405 |
| Opus 5.5 | $0.00041 | $0.01362 |
| Sonnet 5.5 | $0.00021 | $0.00681 |
| Haiku 4.5 | $0.00010 | $0.00341 |
Grade A, and why
prep-pr 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 1mo 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.
- 1mo ago First seen · 192 lines · 103 tokens per session scan A 7265a119675c
prep-pr is a skill published in the GitHub repository aws-samples/sample-agentic-chatbot-accelerator (24 stars, last pushed 2d ago), licensed MIT-0. It adds 103 tokens to every session and 3,405 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
agent-swarm-pr
Agent skill for swarm-pr - invoke with $agent-swarm-pr.
agent-pr-manager
Agent skill for pr-manager - invoke with $agent-pr-manager.
github-automation
GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.
prowler-pr
Creates Pull Requests for Prowler following the project template and conventions. Trigger: When working on pull request requirements or creation (PR template sections, PR title Conventional Commits check, changelog gate/no-changelog label), or when inspecting PR-related GitHub workflows like conventional-commit.yml…
babysit
Watch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state. Claude Code analog of Cursor's built-in /babysit. Use after opening a PR when the user wants the agent to shepherd it without re-prompting.