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-devkit --skill huawei-cloud-eyegit clone --depth 1 https://github.com/huaweicloud/huaweicloud-devkitWrote 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-devkit/huawei-cloud-eye)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-devkit/huawei-cloud-eye"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-devkit/huawei-cloud-eye/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-devkit/huawei-cloud-eye"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-devkit/huawei-cloud-eye.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Prompt Injection · line 19 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00072 | $0.00930 |
| Opus 5 | $0.00036 | $0.00465 |
| Sonnet 5 | $0.00014 | $0.00186 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
huawei-cloud-eye 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 10d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud Cloud Eye (CES)
STOP - Do not answer from general knowledge. Follow the procedure below.
Always run hcloud CES <Operation> --help before constructing commands to discover exact parameter names and requirements.
Overview
Domain expertise for Cloud Eye (CES). Covers metric queries, alarm rules, dashboards, and monitoring agent management.
Critical Warnings
| Trap | Why |
|---|---|
| Telescope agent required for detailed metrics | Without agent: only basic CPU/network metrics. Memory, disk require agent installation on ECS |
| Alarm needs SMN topic first | Alarm notifications fail silently without a configured SMN topic |
| Cost metrics incur charges | Custom metrics and high-frequency alarms have billing implications |
| CES endpoint may vary by region | Some older regions use different endpoint URLs. Check https://developer.huaweicloud.com/endpoint?CES |
| Metric granularity minimum 300s | Free tier has 5-minute minimum. Higher resolution requires paid tier |
Prerequisites
- ECS instances need the Telescope agent installed for detailed metrics (memory, disk, network)
- Without agent: only SYS.ECS namespace metrics available (CPU, network bytes, disk read/write)
- Alarm notifications require an SMN topic (see
huawei-smn-dms)
Common Workflows
| Task | Operation |
|---|---|
| List metrics | ListMetrics --cli-region=<r> --project_id=<p> |
| Get metric data | BatchListMetricData --cli-region=<r> --project_id=<p> |
| List alarms | ListAlarms --cli-region=<r> --project_id=<p> |
| Create alarm | CreateAlarm (see below) |
| Delete alarm | BatchDeleteAlarmRules --cli-region=<r> --project_id=<p> |
| List dashboards | ListDashboardWidgets --cli-region=<r> --project_id=<p> |
| Create dashboard | CreateDashboard --cli-region=<r> --project_id=<p> |
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.
- 10d ago First seen · 91 lines · 72 tokens per session scan A 76c3f5a7a743
huawei-cloud-eye is a skill published in the GitHub repository huaweicloud/huaweicloud-devkit (46 stars, last pushed today), licensed Apache-2.0. It adds 72 tokens to every session and 930 once invoked, about $0.0004 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 2026-08-30.
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