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 huaweicloud/huaweicloud-skills --skill huawei-cloud-iac-reversegit clone --depth 1 https://github.com/huaweicloud/huaweicloud-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/huaweicloud/huaweicloud-skills/huawei-cloud-iac-reverse)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-iac-reverse"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-iac-reverse/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/huaweicloud/huaweicloud-skills/huawei-cloud-iac-reverse"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-iac-reverse.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 | $0.00134 | $0.02738 |
| Opus 5.5 | $0.00054 | $0.01095 |
| Sonnet 5.5 | $0.00027 | $0.00548 |
| Haiku 4.5 | $0.00013 | $0.00274 |
Grade A, and why
huawei-cloud-iac-reverse 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud IaC Reverse Engineering Skill
Overview
Given a Huawei Cloud account with existing resources, this skill:
- Discovers all resources via RMS (Resource Management Service / 配置审计) API
- Analyzes resources in batches by service layer (network → storage → compute → database → auxiliary)
- Synthesizes Terraform HCL configurations from the analyzed topology
- Validates with
terraform fmt→validate→plan - Compares the generated code against the original inventory to identify gaps
Prerequisites
hcloudCLI (KooCLI) installed and configured with AK/SK- Terraform >= 1.90.0 installed (see
references/cli-installation-guide.md) - Huawei Cloud provider for Terraform (auto-downloaded via Huawei Cloud mirror)
- Environment variables:
HUAWEI_ACCESS_KEY,HUAWEI_SECRET_KEY(unsetHUAWEI_SECURITY_TOKENif switching accounts)
Workflow
Phase 0: Credential Setup
# Set credentials (never write AK/SK into .tf files)
export HUAWEI_ACCESS_KEY="your-ak"
export HUAWEI_SECRET_KEY="your-sk"
# CRITICAL: unset stale security token when switching accounts
unset HUAWEI_SECURITY_TOKEN
Phase 1: Resource Discovery (RMS)
Use RMS ListAllResources to get ALL resources across ALL services in one call:
# List all resources in a region
hcloud Config ListAllResources --cli-region={region} --limit=200
Known limitations:
- Subnets are NOT returned by RMS — query VPC API separately
- CCE Turbo cluster nodes may not be returned by CCE API — extract from RMS data
- Some resource properties (e.g., EVS volume_type) may be missing — supplement with service-specific APIs
Phase 2: Batch Analysis (9 phases by dependency layer)
Analyze resources in dependency order:
| Phase | Layer | Resources | Key Data to Extract |
|---|---|---|---|
| 1 | Network | VPC, subnets, SGs, EIPs | CIDR, AZ, rules, bandwidth |
| 2 | Storage | OBS, EVS, SFS Turbo | bucket names, share_type, size |
| 3 | Compute | ECS instances | flavor, image_id, AZ, disk, EIP, SG |
| 4 | CCE | Clusters, nodes | cluster version, network type, node flavor |
| 5 | Database | GaussDB | engine, version, flavor, HA mode, volume |
| 6-7 | Cache/MQ | DCS, DMS | spec_code, broker_num, storage |
| 8 | Auxiliary | KMS, keypairs, HSS, LTS | key alias, topic names |
| 9 | Topology | Cross-references | VPC→subnet→ECS, SG→rules, CCE→nodes |
What ships with it
9 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.
- README.md 1.8 KB
- references/acceptance-criteria.md 1.8 KB
- references/cli-installation-guide.md 1.3 KB
- references/dataflow-diagram.md 1.6 KB
- references/iam-policies.md 2.3 KB
- references/verification-method.md 2.1 KB
- scripts/compare_resources.sh 2.3 KB runs code
- scripts/query_all_resources.sh 1.4 KB runs code
- scripts/validate_terraform.sh 972 B runs code
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 · 262 lines · 134 tokens per session scan A 9d4fb45e82dd
huawei-cloud-iac-reverse is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 134 tokens to every session and 2,738 once invoked, about $0.0005 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 2026-09-24.
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