huawei-cloud-oa-risk-inspection

huawei-cloud-oa-risk-inspection is a skill for Claude Code, Codex from huaweicloud/huaweicloud-skills. It costs 78 tokens per session (2,412 once invoked), scanned A, original, MIT.

A Huawei Cloud tenant inspection workflow for finding risks and compliance problems across Optimization Advisor, Config, and SecMaster. It retrieves inspection results and produces analysis reports in HTML and Excel.

In plain words
What is it for?
Use it to inspect cloud resources, review baseline and configuration compliance, convert raw findings, and generate an inspection report.
Why use it?
It brings several cloud risk and compliance checks into one repeatable process. It also checks the local tools, Python dependencies, and authentication needed to run the inspection.

Skill for Claude CodeCodex

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

Good fit Use it to inspect cloud resources, review baseline and configuration compliance, convert raw findings, and generate an inspection report.

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Install with agentmods
npx agentmods add skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection
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-oa-risk-inspection
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-oa-risk-inspection

README.md
[![agentmods](https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection/github.svg)](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection)
Your own site
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection/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 huawei-cloud-oa-risk-inspection

Your own site · 80×15
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-oa-risk-inspection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,412 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 $0.00078 $0.02412
Opus 5.5 $0.00031 $0.00965
Sonnet 5.5 $0.00016 $0.00482
Haiku 4.5 $0.00008 $0.00241

Measured 11d ago against content hash dc0c2f420eb6, 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-oa-risk-inspection 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 11d ago.

The scan reads SKILL.md. This mod also ships 30 executable files (assets/echarts.part_001.js, assets/echarts.part_002.js, assets/echarts.part_003.js, …), 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/security/ops/huawei-cloud-oa-risk-inspection/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Huawei Cloud OA Service Risk Inspection

Overview

Fetch tenant resource inspection results from the Huawei Cloud Optimization Advisor (OA), Config and SecMaster services, and generate an inspection analysis report.

Workflow

Copy the following checklist and track progress:

- [ ] Step 1: Environment check
- [ ] Step 2: Fetch OA risk inspection results
- [ ] Step 3: Fetch Config resource compliance results
- [ ] Step 4: Fetch SecMaster baseline check results
- [ ] Step 5: Convert raw results
- [ ] Step 6: Generate report
- [ ] Step 7: Clean up temporary files
- [ ] Step 8: Workflow summary

Step 1: Environment check

  • MUST Check whether the Python programming language is installed
  • MUST Check the Python third-party library dependencies, refer to requirements.txt
    • Refer to the command pip install --dry-run -r requirements.txt
    • Expect all packages to output Requirement already satisfied
    • IF Would install appears, install the third-party library dependencies listed in requirements.txt
  • MUST Check whether the hcloud command-line tool is installed
  • MUST Check whether the hcloud command-line tool has authentication information configured
  • If any check fails, MUST report the missing items and fix guidance to the user, and terminate the workflow

Step 2: Fetch OA risk inspection results

Call the oa_risk_inspection.py script to fetch raw risk inspection results from the Optimization Advisor (OA), with the following requirements:

  • Run oa_risk_inspection.py with --help to view its help manual
  • Use the question tool to ask the user how to configure the command-line parameters for running oa_risk_inspection.py
    • MUST List the command-line parameter details, including: parameter name, required/optional, default value, parameter description, etc.
    • MUST Have the user provide the necessary command-line parameter values, otherwise the script cannot run
    • MUST Ask the user to confirm the parameter values for this step's script. MUST NOT reuse or carry over answers from previous steps without explicit user confirmation for this step

Read the full file on GitHub · 138 lines

Files

What ships with it

38 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. 11d ago First seen · 138 lines · 78 tokens per session scan A dc0c2f420eb6

Subscribe to this mod's changes

huawei-cloud-oa-risk-inspection is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 2,412 once invoked, about $0.0003 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 2026-10-17.

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