exploiting-cloud-platforms

exploiting-cloud-platforms is a skill for Claude Code, Codex from EvilFreelancer/secs. It costs 52 tokens per session (3,037 once invoked), scanned B, a copy of exploiting-cloud-platforms, Apache-2.0.

A set of procedures for authorized security testing of AWS, Azure, and Google Cloud environments. It focuses on finding and exploiting cloud misconfigurations in storage, permissions, metadata services, and serverless functions.

In plain words
What is it for?
Use it for cloud penetration tests, storage-bucket checks, cloud permission escalation tests, serverless-function testing, and metadata-service abuse assessments.
Why use it?
Cloud services expose several attack surfaces, and a misconfiguration can let an attacker access data or gain more permissions. The procedures help assess those risks directly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is aws s3 sync s3://bucket-name/ ./local-folder/.

Good fit Use it for cloud penetration tests, storage-bucket checks, cloud permission escalation tests, serverless-function testing, and metadata-service abuse assessments.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/EvilFreelancer/secs
agentmods
npx agentmods add skills/evilfreelancer/secs/exploiting-cloud-platforms

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for exploiting-cloud-platforms

README.md
[![agentmods](https://agentmods.dev/badge/skills/evilfreelancer/secs/exploiting-cloud-platforms/github.svg)](https://agentmods.dev/skills/evilfreelancer/secs/exploiting-cloud-platforms)
Your own site
<a href="https://agentmods.dev/skills/evilfreelancer/secs/exploiting-cloud-platforms"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/exploiting-cloud-platforms/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.

agentmods 80×15 button for exploiting-cloud-platforms

Your own site · 80×15
<a href="https://agentmods.dev/skills/evilfreelancer/secs/exploiting-cloud-platforms"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/exploiting-cloud-platforms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,037 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod 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 5.1 $0.00052 $0.03037
Opus 5.5 $0.00021 $0.01215
Sonnet 5.5 $0.00010 $0.00607
Haiku 4.5 $0.00005 $0.00304

Measured 1mo ago against content hash e4db8c090c52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

exploiting-cloud-platforms scanned grade B 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 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.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

curl http://169.254.169.254/latest/meta-data/

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

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

curl https://bucket-name.s3.amazonaws.com/
Origin

This is a copy

92% identical to exploiting-cloud-platforms — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/exploiting-cloud-platforms/SKILL.md · 467 lines

How it starts

The opening of the file, as written. The whole thing — 467 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exploiting Cloud Platforms

When to Use

  • AWS, Azure, or GCP security assessment
  • Cloud misconfiguration exploitation
  • S3/Blob/Storage bucket hunting
  • Cloud IAM privilege escalation
  • Serverless function exploitation
  • Cloud metadata service abuse

When NOT to Use

  • On-premises Active Directory — use attacking-active-directory
  • Container and Kubernetes internals — use container-security
  • IaC and pipeline review from source — use auditing-supply-chain
  • Investigating a cloud compromise — use responding-to-incidents
  • Hardening an account's posture rather than attacking it — use hardening-cloud-posture

Route to a Depth Skill

Cloud has grown several attack surfaces deep enough to warrant their own procedure skill. When the assessment narrows to one of these, switch — the IAM-and-storage methodology here does not carry their specific detail.

Signal Skill
A managed Kubernetes cluster (EKS/GKE/AKS): pod-to-cloud IMDS, IRSA/Workload Identity, k8s RBAC container-security
CI/CD pipeline with OIDC federation to the cloud: broad trust policies, runner compromise auditing-supply-chain

AWS Security

AWS CLI Setup

# Configure credentials
aws configure
# Or export directly
export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
export AWS_DEFAULT_REGION=us-east-1

# Test credentials
aws sts get-caller-identity

# List available regions
aws ec2 describe-regions

S3 Bucket Enumeration

# List buckets
aws s3 ls

# List bucket contents
aws s3 ls s3://bucket-name/
aws s3 ls s3://bucket-name/ --recursive

# Download bucket contents
aws s3 sync s3://bucket-name/ ./local-folder/

# Check public access
aws s3api get-bucket-acl --bucket bucket-name
aws s3api get-bucket-policy --bucket bucket-name

# Test unauthenticated access
aws s3 ls s3://bucket-name/ --no-sign-request
curl https://bucket-name.s3.amazonaws.com/

Read the full file on GitHub · 467 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 467 lines · 52 tokens per session scan B e4db8c090c52

Subscribe to this mod's changes

exploiting-cloud-platforms is a skill published in the GitHub repository EvilFreelancer/secs (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 3,037 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). It is 92% identical to exploiting-cloud-platforms, differing in 18 lines, and is treated as a copy.

Related

Other skills, from other repositories

analyzing-ransomware-encryption-mechanisms

Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware…

26zl/cybersec-toolkit · 79 tokens

analyzing-slack-space-and-file-system-artifacts

Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.

26zl/cybersec-toolkit · 44 tokens

configuring-identity-aware-proxy-with-google-iap

Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.

26zl/cybersec-toolkit · 60 tokens

configuring-network-segmentation-with-vlans

Designs and implements VLAN-based network segmentation on managed switches to isolate network zones, enforce access control between segments, and reduce the attack surface by limiting lateral movement paths in enterprise network environments.

26zl/cybersec-toolkit · 48 tokens

analyzing-email-headers-for-phishing-investigation

Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify spoofing through SPF, DKIM, and DMARC validation.

26zl/cybersec-toolkit · 44 tokens

analyzing-golang-malware-with-ghidra

Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.

26zl/cybersec-toolkit · 40 tokens