SKILLEMALL.ai

CC huawei-cloud-find-skills

Invoke this skill to search, list, query, discover, browse, find and install any Huawei Cloud (华为云) agent skill. Triggers include: "华为云", "华为云有什么skill", "华为云相关skill", "华为云agent skill 市场", "华为云skill类目", "explore Huawei Cloud skills", "show Huawei Cloud skill categories", "does a Huawei Cloud skill exist for...", "which Huawei Cloud skills exist", "搜索华为云技能", "查询华为云skill列表", "有没有管理ECS/OBS/RDS的skill", "帮我找 XX 华为云skill", "介绍 XX Skill 内容", "华为云 XX Skill 具体做什么", "安装华为云Skill".

ClawHub Agent Skills author: dev-skills-operator v1.0.19 MIT-0 10 files · 4 scripts body ≈ 4 660 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Invoke this skill to search, list, query, discover, browse, find and install any Huawei Cloud (华为云) agent skill.

As a process C 57/100 · Has gaps — References files that are not bundled: scripts/cli/cli_entry.py, scripts/cli/cli_reporting.py

ProcedureGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
57/100
Has gaps
References files that are not bundled: scripts/cli/cli_entry.py, scripts/cli/cli_reporting.py
Tools and files w 18
0
When it triggers w 12
20
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-find-skills (ClawHub)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 10. 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")
  • warning missing-ref reference to a missing file: scripts/cli/cli_entry.py
  • warning missing-ref reference to a missing file: scripts/cli/cli_reporting.py

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: scripts/cli/cli_entry.py, scripts/cli/cli_reporting.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/cli/cli_entry.py, scripts/cli/cli_reporting.py
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4660 tokens
  • 85Steps. 42 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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)
  • +3Output format is not stated: the model decides each time
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 15 example trigger phrases
  • +3Description length 473: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
The skill can search and install Huawei Cloud skills, but it also installs an external telemetry CLI and reports agent/session data, so it needs user review before installation.
LLM: suspicious (high) · 20 Sept 2026