configuring-aws-verified-access-for-ztna

configuring-aws-verified-access-for-ztna is a skill for Claude Code from 26zl/cybersec-toolkit. It costs 38 tokens per session (3,526 once invoked), scanned A, original, MIT.

A guide to configuring AWS Verified Access for zero-trust access to private applications without a traditional VPN. AWS checks each request using the user's identity, device security state, and rules written in Cedar.

In plain words
What is it for?
Use it to configure identity and device checks, write access policies, connect identity and device-management providers, and share access settings across AWS accounts.
Why use it?
It limits access to each application based on current conditions instead of trusting a user because they are connected to a network. This can reduce broad network access and support stricter access policies.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the cybersec-toolkit plugin — 197 skills, 2 hooks, 1 MCP server shipped together

Good fit Use it to configure identity and device checks, write access policies, connect identity and device-management providers, and share access settings across AWS accounts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna
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 26zl/cybersec-toolkit --skill configuring-aws-verified-access-for-ztna
Clone the repo
git clone --depth 1 https://github.com/26zl/cybersec-toolkit

Made for: Claude Code.

Or install cybersec-toolkit, the plugin that ships this one along with the rest of its 197 skills, 2 hooks, 1 MCP server.

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 configuring-aws-verified-access-for-ztna

README.md
[![agentmods](https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna/github.svg)](https://agentmods.dev/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna)
Your own site
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna/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 configuring-aws-verified-access-for-ztna

Your own site · 80×15
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/configuring-aws-verified-access-for-ztna.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,526 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 148
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00038 $0.03526
Opus 5 $0.00019 $0.01763
Sonnet 5 $0.00008 $0.00705
Haiku 4.5 $0.00004 $0.00353

Measured 9d ago against content hash c14083395d03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

configuring-aws-verified-access-for-ztna 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/configuring-aws-verified-access-for-ztna/SKILL.md · 462 lines

How it starts

The opening of the file, as written. The whole thing — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configuring AWS Verified Access for ZTNA

Overview

AWS Verified Access is a Zero Trust Network Access (ZTNA) service that provides secure, VPN-less access to corporate applications hosted in AWS. It evaluates each access request in real-time against granular conditional access policies written in the Cedar policy language, ensuring access is granted per-application only when specific security requirements such as user identity and device security posture are met and maintained. Verified Access integrates with AWS IAM Identity Center, third-party identity providers (Okta, CrowdStrike, JumpCloud, Jamf), and device management solutions. For multi-account deployments, AWS Resource Access Manager (RAM) enables sharing Verified Access groups across organizational units.

When to Use

  • When deploying or configuring configuring aws verified access for ztna capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • AWS account with appropriate IAM permissions
  • Identity provider (AWS IAM Identity Center, Okta, or OIDC-compatible)
  • Device trust provider (CrowdStrike, Jamf, JumpCloud, or AWS Verified Access native)
  • Internal Application Load Balancer (ALB) or network interface endpoint
  • Understanding of Cedar policy language
  • VPC with application workloads to protect

Architecture

    End User (Browser)
         |
         | HTTPS
         v
  +------+--------+
  | Verified      |
  | Access        |
  | Endpoint      |
  | (Public DNS)  |
  +------+--------+
         |
  +------+--------+
  | Verified      |  <-- Cedar Access Policies
  | Access        |  <-- Identity Provider Signals
  | Instance      |  <-- Device Trust Signals
  | (Policy       |
  |  Evaluation)  |
  +------+--------+
         |
  +------+--------+
  | Verified      |
  | Access Group  |
  | (App Group)   |
  +------+--------+
         |
  +------+--------+
  | Internal ALB  |
  | or ENI Target |
  +------+--------+
         |
  +------+--------+
  | Application   |
  | (Private VPC) |
  +--------------+

Read the full file on GitHub · 462 lines

Files

What ships with it

7 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. 9d ago First seen · 462 lines · 38 tokens per session scan A c14083395d03

Subscribe to this mod's changes

configuring-aws-verified-access-for-ztna is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 3,526 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

configuring-aws-verified-access-for-ztna

Configure AWS Verified Access to provide VPN-less zero trust network access to internal apps, combining identity trust providers (IAM Identity Center, Okta/OIDC), device posture providers (CrowdStrike, Jamf), Cedar policy authoring, and Terraform deployment. Use when replacing VPN access with ZTNA, writing Cedar…

Youngmaidainon/Agent-Level-Up · 91 tokens

configuring-aws-verified-access-for-ztna

Configure AWS Verified Access to provide VPN-less zero trust network access to internal applications using identity and device posture verification with Cedar policy language.

Njones17/AI-agent-master-cyber-skills-list · 38 tokens

implementing-zero-trust-network-access

Implementing Zero Trust Network Access (ZTNA) in cloud environments by configuring identity-aware proxies, micro-segmentation, continuous verification with conditional access policies, and replacing traditional VPN-based access with BeyondCorp-style architectures across AWS, Azure, and GCP.

xalgorix/xalgorix · 59 tokens

detecting-s3-data-exfiltration-attempts

Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.

xalgorix/xalgorix · 63 tokens

implementing-aws-config-rules-for-compliance

Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts.

xalgorix/xalgorix · 53 tokens

implementing-aws-security-hub-compliance

Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.

xalgorix/xalgorix · 53 tokens