AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill aws-sst-developmentgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/sickn33/agentic-awesome-skills/aws-sst-development)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/aws-sst-development"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/aws-sst-development/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/sickn33/agentic-awesome-skills/aws-sst-development"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/aws-sst-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Prompt Injection · line 94 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium MCP Rug Pull · line 68 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 149 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 149 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00026 | $0.02552 |
| Opus 5 | $0.00013 | $0.01276 |
| Sonnet 5 | $0.00005 | $0.00510 |
| Haiku 4.5 | $0.00003 | $0.00255 |
Grade A, and why
aws-sst-development 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 3d 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- aws-sst-development — 100% identical, 8 lines differ
- aws-sst-development — 100% identical, 8 lines differ
- aws-sst-development — 97% identical, 10 lines differ
- aws-sst-development — 97% identical, 10 lines differ
- aws-sst-development — 94% identical, 50 lines differ
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SST v4 for AWS
When to Use
Use this skill when you need sST v4 (Ion) expert for managing AWS resources as code with the Pulumi-backed framework. Use when writing or editing sst.config.ts, building infra/ modules (sst.aws.Function/Bucket/Dynamo/Cron/Service/Router, sst.Secret, sst.Linkable, raw aws.* Pulumi resources), wiring resource links,...
SST v4 (the "Ion" engine) is a Pulumi-backed IaC framework: you describe AWS
resources in TypeScript and SST/Pulumi reconciles them into your account. It
gives you high-level sst.aws.* components (Function, Bucket, Dynamo, Cron,
Service, …) that expand into many underlying resources, plus an escape hatch to
any raw Pulumi aws.* resource for the long tail. This skill encodes a
production-proven way to author, link, test, deploy, and troubleshoot SST
stacks on AWS — distilled from real multi-stack projects that have paid for
each lesson with a prod incident.
SST and Pulumi are third-party — verify current syntax with Context7
(resolve-library-id → query-docs for sst or pulumi-aws) when you're
unsure about a component's options. Verify AWS-side facts (service limits,
model IDs, IAM action names, region availability) with the AWS docs MCP, never
from memory. The patterns here are the how; the docs are the what.
When you're invoked
Figure out which mode you're in and jump to the right reference:
| Situation | Go to |
|---|---|
| New project, or adding a resource/module to an existing SST app | Author → references/authoring.md |
| Wiring one module's output into another (links, SSM, IAM scope) | Author → references/authoring.md § Sharing |
| Writing tests for infra so changes don't silently break | Test → references/testing.md |
| Running a deploy, or a deploy just failed | Deploy/Operate → references/deploy-and-troubleshoot.md |
| Migrating a resource between Pulumi types, renaming a physical name | Deploy/Operate → references/deploy-and-troubleshoot.md § Migrations |
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.
- 3d ago Changed · +6 lines · -49 tokens per session 89c548157487
- 5d ago First seen · 176 lines · 75 tokens per session scan A cf0edd26e37e
aws-sst-development is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 2,552 once invoked, about $0.0001 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 2026-09-05.
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