SKILLEMALL.ai

AD harmonyos-decision

鸿蒙原生应用开发辅助决策助手。用户输入产品名称与想法,自动分析竞品、行业数据、产品分析、用户分析、推广成本、营销推广等,生成多维度可行性评估HTML报告。覆盖鸿蒙生态特有痛点(ArkTS学习成本、人才缺口、设备碎片化、AppGallery分发规则、元服务机会、开发者激励计划等)。触发词:鸿蒙开发决策, 鸿蒙可行性, 鸿蒙能不能做, 做鸿蒙应用, 鸿蒙APP评估, 鸿蒙原生开发, HarmonyOS决策, harmonyos decision, 鸿蒙调研, 鸿蒙分析报告。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 4 files body ≈ 1 099 tokens Open the sourceclawhub.ai analyzed 3 d ago

鸿蒙原生应用开发辅助决策助手。用户输入产品名称与想法,自动分析竞品、行业数据、产品分析、用户分析、推广成本、营销推广等,生成多维度可行性评估HTML报告。覆盖鸿蒙生态特有痛点(ArkTS学习成本、人才缺口、设备碎片化、AppGallery分发规则、元服务机会、开发者激励计划等)。触发词:鸿蒙开发决策, 鸿蒙可行性…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticstype 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
D
46/100
Unfinished process
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: 4. 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 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 52 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1099 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 237: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 52 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
The skill mostly matches its stated purpose, but the HTML report it generates can run unsafe injected content from report inputs.
LLM: suspicious (high) · VirusTotal: · 15 Jun 2026