Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kubiyabot/skill --skill aws-skillgit clone --depth 1 https://github.com/kubiyabot/skillWrote 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/kubiyabot/skill/aws-skill)<a href="https://agentmods.dev/skills/kubiyabot/skill/aws-skill"><img src="https://agentmods.dev/badge/skills/kubiyabot/skill/aws-skill/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/kubiyabot/skill/aws-skill"><img src="https://agentmods.dev/badge/skills/kubiyabot/skill/aws-skill.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 | $0.00017 | $0.01730 |
| Opus 5.5 | $0.00007 | $0.00692 |
| Sonnet 5.5 | $0.00003 | $0.00346 |
| Haiku 4.5 | $0.00002 | $0.00173 |
Grade A, and why
aws-skill 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.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Skill
Interact with Amazon Web Services (AWS) directly from the command line or through MCP. This skill provides secure, authenticated access to core AWS services including S3 storage, EC2 compute, and Lambda serverless functions.
What is AWS?
Amazon Web Services (AWS) is the world's most comprehensive cloud computing platform, offering over 200 services for compute, storage, databases, networking, and more. This skill focuses on the most commonly used services:
- S3 (Simple Storage Service): Object storage for files, backups, and static assets
- EC2 (Elastic Compute Cloud): Virtual servers for running applications
- Lambda: Serverless compute for running code without managing servers
When to Use This Skill
Use this skill when you need to:
- List, upload, or download files from S3 buckets
- Check running EC2 instances and their status
- Invoke Lambda functions programmatically
- Automate AWS operations without switching to the AWS Console
Common scenarios:
- "Upload this build artifact to S3"
- "Show me all running EC2 instances in production"
- "Invoke the data-processing Lambda function"
- "Download the latest backup from S3"
Prerequisites
- AWS Account: You need an active AWS account
- AWS Credentials: IAM access key ID and secret access key
- IAM Permissions: Your credentials need appropriate permissions for the services you'll use
Getting AWS Credentials
- Log into AWS Console
- Navigate to IAM → Users → Your User
- Security Credentials tab → Create Access Key
- Choose "Command Line Interface (CLI)"
- Save the Access Key ID and Secret Access Key
Security Note: Never commit AWS credentials to source control. This skill stores them securely in your system keychain.
Configuration
Create a skill.config.toml file or configure after installation:
[config]
aws_access_key_id = "AKIAIOSFODNN7EXAMPLE"
aws_secret_access_key = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
region = "us-east-1"
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitignore 168 B
- docker-compose.yml 666 B
- package.json 579 B
- README.md 5.7 KB
- skill-real.js 14 KB runs code
- skill.config.toml 589 B
- skill.js 13 KB runs code
- src/env.js 1001 B runs code
- src/simple-test.js 1.3 KB runs code
- src/skill-final.js 7.7 KB runs code
- src/skill.js 8.1 KB runs code
- src/test-env.js 1.2 KB runs code
- src/wasi-env-test.js 919 B runs code
- test-localstack.sh 7.8 KB runs code
- TESTING.md 6.7 KB
- tsconfig.json 399 B
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 · 253 lines · 17 tokens per session scan A 5a169236932f
aws-skill is a skill published in the GitHub repository kubiyabot/skill (19 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,730 once invoked, about $0.0001 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 2026-09-03.
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