SKILLEMALL.ai

AC gz-media-tester

广州日报/融媒云通用测试助手。专为广州日报报业集团及广州市区融媒云平台的测试工作设计。 覆盖场景: (1) 广州市区融媒云平台后台管理系统(CMS/采编/运营后台)功能测试 (2) 广州融媒云APP(Android/iOS/HarmonyOS)功能、性能、兼容性测试 (3) 广州日报新花城APP(Android/iOS/HarmonyOS)功能、性能、兼容性测试 (4) H5页面、活动链接可用性与兼容性测试 (5) 微信小程序/支付宝小程序功能测试 (6) 后端接口(API)自动化测试 (7) 测试用例生成、测试报告输出、Bug单撰写 触发关键词:测试、test、冒烟测试、回归测试、接口测试、APP测试、H5测试、小程序测试、融媒云测试、新花城测试、测试用例、测试报告、Bug单

ClawHub Agent Skills author: zaimingwang v1.0.0 MIT-0 10 files body ≈ 347 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 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")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 347 tokens
  • 100Running it twice. No mutating operations

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 343: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 8 items
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a coherent QA testing helper, but it can send live test traffic and may auto-install a Python dependency if requests is missing.
LLM: benign (high) · VirusTotal: · 29 May 2026