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-cce-env-assessmentgit 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-cce-env-assessment)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cce-env-assessment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cce-env-assessment/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-cce-env-assessment"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cce-env-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 186 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- low Excessive Agency · line 147 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00069 | $0.03133 |
| Opus 5 | $0.00034 | $0.01566 |
| Sonnet 5 | $0.00014 | $0.00627 |
| Haiku 4.5 | $0.00007 | $0.00313 |
Grade A, and why
huawei-cloud-cce-env-assessment 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 8d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud — CCE ENV Assessment Skill
Overview
Automatically collects evaluation metrics of the huawei cloud container environment, outputs metric scoring tables by dimension, and generates evaluation reports and improvement suggestions.
Prerequisites
Prerequisite check: Huawei Cloud CLI (hcloud) >= 7.2.2 required Run
hcloud versionto verify the version is >= 7.2.2, andhcloud configure listto confirm a profile exists. If it is not installed or the version is too low, see references/koocli-installation-guide.md for the installation guide.
hcloud version
hcloud configure list
Prerequisite check: Python >= 3.6 required Run
python --versionto verify the version is >= 3.6.0 If it is not installed or the version is too low, The skill execution is interrupted proactively, and the user is prompted to install Python 3.6 or later. If the Python version is 3.6.x, run the following command to upgrade pip to the latest versionpip3 install --user --upgrade 'pip<22'
⚠️ Mandatory Execution Rules
Rule 1: Step-by-step Confirmation
After each step, you MUST:
- Print the completion status of the current step
- Show the output produced by that step
- Every Skill run starts from Step 1 — do NOT skip Step 1 and jump into later steps
- Strictly follow this Skill's rules and wait for user confirmation after every step
- Strictly follow the described flow; do not perform extra operations. If anything errors, return the error to the user as-is — do not try to fix it yourself
- All execution rules take precedence over efficiency
Do NOT chain multiple steps in a single run!
Rule 2: Fixed Directories
After each step, you MUST:
- Save all intermediate files under the
data/directory
Rule 3: Permission Issues
- When you hit a permission problem, try
sudo. If that does not resolve it, error out and abort the Skill flow
Rule 4: Anti-skip Check
What ships with it
10 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.
- references/cloud-native-checklist.xlsx 20 KB
- references/koocli-installation-guide.md 7.1 KB
- references/requirements.txt 1.1 KB
- scripts/__init__.py 76 B runs code
- scripts/collect_all.py 56 KB runs code
- scripts/make_charts.py 9.8 KB runs code
- scripts/make_report_html.py 22 KB runs code
- scripts/score_and_excel.py 29 KB runs code
- templates/cloud-native-assessment-template.md 28 KB
- templates/report_template.md 45 KB
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.
- 8d ago First seen · 250 lines · 69 tokens per session scan A 55854a4cfefe
huawei-cloud-cce-env-assessment is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 3,133 once invoked, about $0.0003 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.
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