bedrock
AWS Bedrock foundation models for generative AI.
Sorting a stream of records into a picture
What it does
Amazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities.
Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns
You don’t need to name it. Ask for the job in your own words — your AI loads the skill when the request matches.
What it can touch
No script files in its folder
Its folder holds text, not programs — but the instructions do tell your AI to run commands (see below).
How we know
Listed the 2 files in the skill’s folder on GitHub; none is a script or program.
Asks for an API key or token
You will need an account with the service it talks to, and your own key. Keep keys in your settings or environment, never in a chat.
How we know
The SKILL.md mentions an API key or access token.
Mentions 2 outside web addresses
The instructions point your AI at these sites or APIs. Anything it sends there leaves your computer.
How we know
Web addresses in the SKILL.md, excluding GitHub and documentation sites: aws.amazon.com, docs.aws.amazon.com.
Uses terminal commands
It shows your AI commands to run. In a coding agent that means your terminal; in a chat app it usually can’t.
How we know
The SKILL.md contains shell code blocks.
2 smaller things worth knowing
Contains fake system or role markers; Sends your AI's traffic, and your API key, to a different server. Usually legitimate — listed so nothing is hidden.
How we know
Contains fake system or role markers — model-invocation.md line 129; Sends your AI's traffic, and your API key, to a different server — model-invocation.md line 187. Read 2026-10-05, commit e786d25.
model-invocation.md, line 129 ↗model-invocation.md, line 187 ↗No serious risk pattern found
Launch7’s automated check read all 2 text files in this skill and matched none of its serious risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-05, commit e786d25 by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Recently maintained
Its repository has had changes recently.
How we know
Last push to itsmostafa/aws-agent-skills: 2026-09-28 (7 days before the scan).
Read automatically from the skill’s own files on GitHub on 5 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Supported. Upload it once in Claude’s settings. Works on every plan, including Free.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
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