huawei-cloud-network-topology-audit

huawei-cloud-network-topology-audit is a skill for Claude Code, Codex from huaweicloud/huaweicloud-skills. It costs 149 tokens per session (2,767 once invoked), scanned A, original, MIT.

A read-only audit tool for Huawei Cloud network connections and settings. It maps a described path through services such as load balancers, containers, databases, and virtual networks, then checks the wider network for security and configuration risks.

In plain words
What is it for?
Use it to investigate how traffic reaches a Huawei Cloud service, review network security controls, and produce a Markdown report with a Mermaid diagram of the topology.
Why use it?
It replaces manual tracing of cloud connections and scattered settings with one report. It helps reveal risky routes or exposed resources without changing anything.

Skill for Claude CodeCodex

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

Good fit Use it to investigate how traffic reaches a Huawei Cloud service, review network security controls, and produce a Markdown report with a Mermaid diagram of the topology.

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Install with agentmods
npx agentmods add skills/huaweicloud/huaweicloud-skills/huawei-cloud-network-topology-audit
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 huaweicloud/huaweicloud-skills --skill huawei-cloud-network-topology-audit
Clone the repo
git clone --depth 1 https://github.com/huaweicloud/huaweicloud-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 huawei-cloud-network-topology-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-network-topology-audit/github.svg)](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-network-topology-audit)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-network-topology-audit"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-network-topology-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,767 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 $0.00149 $0.02767
Opus 5.5 $0.00060 $0.01107
Sonnet 5.5 $0.00030 $0.00553
Haiku 4.5 $0.00015 $0.00277

Measured 18d ago against content hash fed8e6554b80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

huawei-cloud-network-topology-audit 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 18d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/mermaid-to-ascii.sh, scripts/precheck.sh, scripts/query-dcs-instances.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.

skills/network/ops/huawei-cloud-network-topology-audit/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Huawei Cloud Network Topology Audit

Read-only orchestrator skill. This skill audits existing cloud resources — it never creates, modifies, or deletes any resource. All data collection is delegated to existing query skills (path A) or self-written scripts based on official documentation (path B).

Overview

This skill audits Huawei Cloud network topology for security and configuration risks. Given a user-described access path (e.g., "ELB web-elb → CCE prod-cce → RDS prod-db"), it:

  1. Resolves the real topology from actual cloud resources
  2. Expands to the full VPC network surface (VPCs, subnets, route tables, security groups, EIPs, ELBs, NAT gateways, ECS, RDS, CCE, DCS)
  3. Evaluates risks against an extensible rule directory (rules/network-audit-rules.yaml)
  4. Produces a Markdown audit report with a Mermaid topology diagram

Architecture

User describes access path (natural language)
         │
         ▼
 [Step 1]  Connectivity precheck  ── fail ──→  Prompt user to configure credentials
         │ pass
         ▼
 [Step 2]  Path parsing + find-skills lookup
         │
         ▼
 [Step 3]  Real topology discovery (Path A: query skills, Path B: self-written scripts)
         │
         ▼
 [Step 4]  Diff: described path vs real topology (real = source of truth)
         │
         ▼
 [Step 5]  User confirmation of the real topology
         │
         ▼
 [Step 6]  Risk audit against network-audit-rules.yaml
         │
         ▼
 [Step 7]  Markdown report generation (Mermaid diagram, ASCII fallback)

Applicable Scenarios

  • User describes an access path with approximate resource names
  • Current environment has configured Huawei Cloud credentials (CLI/SDK)
  • Need structured audit of network topology risks

Not Applicable

  • User cannot describe any resource names
  • No Huawei Cloud credentials configured
  • Need to modify resources (this skill is read-only)
  • Cross-account audit (v1 limited to single account)

Prerequisites

  1. Huawei Cloud credentials — Environment variables (HUAWEI_ACCESS_KEY / HUAWEI_SECRET_KEY or HW_AK / HW_SK / HWC_ACCESS_KEY / HWC_SECRET_KEY) or hcloud CLI config
  2. Python 3.8+ — Required for scripts in scripts/
  3. huaweicloudsdk packages — For path B resources (DCS): pip install huaweicloudsdkdcs
  4. Network access — To GitCode for find-skills index queries
  5. hcloud CLI (optional) — For CCE cluster queries via CCE management skill

Read the full file on GitHub · 272 lines

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. 18d ago First seen · 272 lines · 149 tokens per session scan A fed8e6554b80

Subscribe to this mod's changes

huawei-cloud-network-topology-audit is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 2,767 once invoked, about $0.0006 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 2026-10-10.

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