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 autohandai/community-skills --skill building-cloud-security-posture-managementgit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/building-cloud-security-posture-management)<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.
<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>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 | $0.00071 | $0.02832 |
| Opus 5 | $0.00036 | $0.01416 |
| Sonnet 5 | $0.00014 | $0.00566 |
| Haiku 4.5 | $0.00007 | $0.00283 |
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.
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 — 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 |
+----------------+----------+------------+--------------------+------------------+
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.
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.
- 7d ago First seen · 259 lines · 71 tokens per session scan A 08048edcb57e
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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