xalgorix/xalgorix is a self-hosted AI penetration-testing tool in which an LLM agent performs reconnaissance, looks for vulnerabilities, and coordinates exploitation, while a separate verifier re-tests findings before reporting them. It is for security teams, ethical hackers, and bug bounty work using a private, bring-your-own-LLM setup. The catalogue skills extend the agent's pentesting workflow.
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.
git clone --depth 1 https://github.com/xalgorix/xalgorixnpx agentmods add skills/xalgorix/xalgorix/implementing-cloud-security-posture-managementWrote 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/xalgorix/xalgorix/implementing-cloud-security-posture-management)<a href="https://agentmods.dev/skills/xalgorix/xalgorix/implementing-cloud-security-posture-management"><img src="https://agentmods.dev/badge/skills/xalgorix/xalgorix/implementing-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/xalgorix/xalgorix/implementing-cloud-security-posture-management"><img src="https://agentmods.dev/badge/skills/xalgorix/xalgorix/implementing-cloud-security-posture-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.03146 |
| Opus 5.5 | $0.00024 | $0.01258 |
| Sonnet 5.5 | $0.00012 | $0.00629 |
| Haiku 4.5 | $0.00006 | $0.00315 |
Grade A, and why
implementing-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 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.
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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementing Cloud Security Posture Management
When to Use
- When establishing continuous security monitoring across AWS, Azure, and GCP environments
- When compliance requirements demand automated posture assessment against CIS, SOC 2, or PCI DSS
- When security teams need visibility into cloud misconfigurations across multiple accounts and subscriptions
- When building a security operations workflow that detects and remediates drift from security baselines
- When migrating workloads to the cloud and need to enforce security guardrails
Do not use for runtime workload protection (use CWPP tools like Falco or Aqua), for application security testing (use DAST/SAST tools), or for network intrusion detection (use cloud-native IDS like GuardDuty or Network Watcher).
Common Misconfigurations & Verification
- Scanner identity over-privileged: running Prowler/ScoutSuite with write or admin credentials turns the CSPM scanner into a high-value target. Use a dedicated read-only audit role (
SecurityAudit/roles/iam.securityReviewer) and confirm no write actions appear in CloudTrail/audit logs for that principal. - Compliance pack not selected:
prowler awswithout--compliance cis_1.5_awsruns only the default checks, so the CIS/PCI score you report is incomplete. Always pass the explicit framework and confirm in the run header. - Native services not enabled underneath: Security Hub needs AWS Config, Defender needs auto-provisioning, SCC needs asset discovery. If these are off, drift is simply never detected (not flagged as failing).
- Auto-remediation in report-only: AWS Config remediation with
Automatic:false, or Azure policy inDoNotEnforce, logs drift but never fixes it. VerifyAutomatic:true/enforcementMode: Default. - Dedup ignores resource-ID format differences: the same misconfig from Prowler vs ScoutSuite has different IDs, producing duplicate alerts and fatigue.
prowler aws --compliance cis_1.5_aws -M csv -o ./out/ # confirm framework in summary
gcloud scc settings describe --organization=ORG_ID # asset discovery enabled
aws configservice describe-remediation-configurations
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.
- 1mo ago First seen · 311 lines · 59 tokens per session scan A 2cc0b9929573
implementing-cloud-security-posture-management is a skill published in the GitHub repository xalgorix/xalgorix (1,253 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 3,146 once invoked, about $0.0002 per session on Opus 5.5. 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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