building-cloud-security-posture-management

building-cloud-security-posture-management is a skill for Claude Code, Codex from autohandai/community-skills. It costs 71 tokens per session (2,832 once invoked), scanned A, original, Apache-2.0.

A cloud security posture management program that continuously checks AWS, Azure, and Google Cloud configurations against security and compliance standards. It focuses on finding and prioritising misconfigurations rather than detecting live attacks.

In plain words
What is it for?
It helps establish cloud security baselines, monitor against CIS, NIST, PCI-DSS, or SOC 2 requirements, and send findings to SIEM or ticketing systems.
Why use it?
It reveals unsafe cloud settings across multiple accounts and providers. Risk prioritisation helps teams decide which configuration problems to fix first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps establish cloud security baselines, monitor against CIS, NIST, PCI-DSS, or SOC 2 requirements, and send findings to SIEM or ticketing systems.

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Install with agentmods
npx agentmods add skills/autohandai/community-skills/building-cloud-security-posture-management
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.

Any agent
npx skills add autohandai/community-skills --skill building-cloud-security-posture-management
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

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 building-cloud-security-posture-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-security-posture-management/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-cloud-security-posture-management)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-cloud-security-posture-management"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-security-posture-management/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 building-cloud-security-posture-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-cloud-security-posture-management"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-cloud-security-posture-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,832 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00071 $0.02832
Opus 5 $0.00036 $0.01416
Sonnet 5 $0.00014 $0.00566
Haiku 4.5 $0.00007 $0.00283

Measured 7d ago against content hash 08048edcb57e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

building-cloud-security-posture-management 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

building-cloud-security-posture-management/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Cloud Security Posture Management

When to Use

  • When an organization lacks visibility into cloud misconfigurations across multiple accounts and providers
  • When compliance requirements demand continuous posture monitoring against CIS, NIST, or SOC 2 frameworks
  • When security teams need to prioritize which misconfigurations to remediate based on actual risk
  • When migrating workloads to the cloud and establishing security baselines before production deployment
  • When integrating cloud posture findings into an existing SOC or SIEM platform

Do not use for runtime threat detection (see detecting-cloud-threats-with-guardduty), for application-level vulnerability scanning (see securing-serverless-functions), or for network traffic analysis (see implementing-cloud-network-segmentation).

Prerequisites

  • Cloud accounts across target providers (AWS, Azure, GCP) with read-only API access for CSPM tools
  • Defined compliance framework requirements (CIS Benchmarks, NIST 800-53, PCI-DSS, SOC 2)
  • SIEM or ticketing system for finding ingestion and workflow management
  • Budget allocation for commercial CSPM tooling or engineering capacity for native tool integration

Workflow

Step 1: Assess Current Cloud Estate and Risk Appetite

Inventory all cloud accounts, subscriptions, and projects. Classify them by data sensitivity, regulatory requirements, and business criticality to determine CSPM coverage scope.

Cloud Estate Inventory:
+----------------+----------+------------+--------------------+------------------+
| Provider       | Accounts | Workloads  | Data Classification| Compliance Needs |
+----------------+----------+------------+--------------------+------------------+
| AWS            | 45       | Production | Confidential       | PCI-DSS, SOC 2   |
| AWS            | 12       | Dev/Test   | Internal           | SOC 2            |
| Azure          | 8        | Production | Restricted (PII)   | GDPR, SOC 2      |
| GCP            | 3        | Analytics  | Confidential       | SOC 2            |
+----------------+----------+------------+--------------------+------------------+

Read the full file on GitHub · 259 lines

Files

What ships with it

3 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. 7d ago First seen · 259 lines · 71 tokens per session scan A 08048edcb57e

Subscribe to this mod's changes

building-cloud-security-posture-management is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 71 tokens to every session and 2,832 once invoked, about $0.0004 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 2026-09-03.

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