aws-pentesting

A general method guide for security testing of Amazon Web Services, a cloud platform that hosts storage, servers, functions, databases, and other services.

In plain words
What is it for?
It is for assessing AWS environments, including storage buckets, virtual machines, serverless functions, content-delivery services, credentials, permissions, and related attack paths.
Why use it?
It organizes the many possible AWS security checks and directs the work toward more specific areas when an asset, credential, or service is found.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/wgpsec/aboutsecurity/aws-pentesting
Any agent
npx skills add wgpsec/AboutSecurity --skill aws-pentesting
Clone the repo
git clone --depth 1 https://github.com/wgpsec/AboutSecurity

Made for: Claude Code, Codex.

Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,253 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00116 $0.04253
Opus 5 $0.00058 $0.02126
Sonnet 5 $0.00023 $0.00851
Haiku 4.5 $0.00012 $0.00425

Measured 2d ago against content hash 921d7bc5f257, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

aws-pentesting scanned grade C with 2 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 2d 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.

Cloud metadata endpointhighServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

| IAM Role(实例绑定) | 通过 169.254.169.254 获取 | 自动轮换 | EC2/Lambda/ECS 元数据 |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600")
skills/cloud/aws-pentesting/SKILL.md · 323 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 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.

Changes

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.

  1. 2d ago First seen · 323 lines · 116 tokens per session scan C 921d7bc5f257

Subscribe to this mod's changes

aws-pentesting is a skill published in the GitHub repository wgpsec/AboutSecurity (1,709 stars, last pushed 2d ago), with no licence file. It adds 116 tokens to every session and 4,253 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.