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BC huawei-cloud-modelarts-notebook-management

Manage Huawei Cloud ModelArts Notebook instances through full lifecycle operations via hcloud CLI. Covers 31 API interfaces across 7 functional domains: instance management (create/list/show/update/delete/start/stop), lease management (show/renew), tag management (show/create/delete), image management (create/list/register/show/delete/sync/group operations), flavor and cluster queries (list flavors/switchable flavors/clusters/features), and dynamic storage management (list/attach/show/detach). All write operations require user confirmation before execution. Triggers include: "ModelArts notebook", "notebook实例", "创建notebook", "查询notebook", "启动notebook", "停止notebook", "删除notebook", "notebook镜像", "notebook规格", "notebook存储", "notebook标签", "notebook租期", "manage notebook", "notebook management", "ModelArts notebook management".

Not recommendedcritical or high security findings
ClawHub Agent Skills author: huaweicloud-skills-team v1.0.1 MIT-0 12 files · 1 script body ≈ 3 435 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Manage Huawei Cloud ModelArts Notebook instances through full lifecycle operations via hcloud CLI.

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
82
Quality 40%
73
Run on models
none yet
Process rating
C
64/100
Has gaps
When it triggers w 12
20
Running it twice w 4
30
Result and completion w 14
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: huawei-cloud-modelarts-notebook-management (ClawHub)

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

  • high Dangerous commands cmd-pipe-to-shell references/cli-installation-guide.md:8
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -sSL https://support.huaweicloud.com/qs-hcli/hcli_02_003.html | bash

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 64/100

  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 37 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3435 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 832: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -219 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 15 example trigger phrases
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill mostly matches Huawei Cloud notebook administration, but it includes unsafe install and credential-handling guidance that users should review before installing.
LLM: suspicious (high) · 3 Sept 2026