ec2
AWS EC2 virtual machine management — instances, security groups, key pairs, AMIs, EBS volumes, Auto Scaling Groups, Spot Instances, Session Manager,…
Connecting the steps of a workflow
What it does
Amazon Elastic Compute Cloud (EC2) provides resizable compute capacity in the cloud.
Trigger on ANY of these, even when EC2 isn't named explicitly: - Launching or provisioning: "spin up a server", "create a VM", "new…
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 3 files in the skill’s folder on GitHub; none is a script or program.
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: boto3.amazonaws.com, docs.aws.amazon.com.
Installs other software
Following it will install packages (npm, pip, brew or similar). Those come from their own publishers, not from this skill.
How we know
The SKILL.md contains package-install commands.
Its code sends data over the internet
A script in it uploads or posts data. That is normal for a skill that talks to a service — check that the address is the service you expect.
How we know
instance-management.md line 316: “token = requests.put(”. Read 2026-10-05, commit e786d25.
instance-management.md, line 316 ↗Asks for administrator rights
Some of its commands use sudo or "run as administrator". Those can change anything on your computer.
How we know
Seen in its code. Read 2026-10-05, commit e786d25.
4 smaller things worth knowing
Sets itself up to run again automatically later; Refers to a credentials file (SSH keys, cloud logins, tokens); Contacts a server by raw IP address; Reads credentials or your environment, and sends data over the internet. Usually legitimate — listed so nothing is hidden.
How we know
Sets itself up to run again automatically later — SKILL.md line 181; Refers to a credentials file (SSH keys, cloud logins, tokens) — instance-management.md line 212; Contacts a server by raw IP address — instance-management.md line 212; Reads credentials or your environment, and sends data over the internet — instance-management.md line 316. Read 2026-10-05, commit e786d25.
SKILL.md, line 181 ↗instance-management.md, line 212 ↗instance-management.md, line 212 ↗instance-management.md, line 316 ↗No serious risk pattern found
Launch7’s automated check read all 3 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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