SKILLEMALL.ai

BD design-inspiration-collector

双平台设计灵感收集技能。当用户需要设计参考、UI灵感、视觉创意时触发。用户提出设计方向(如"医疗App"、"移动端UI"、"金融Dashboard"等),技能负责:(1) 使用Tavily搜索Dribbble、Pinterest两个平台的官方搜索结果(不包含个人作品集、画板)(2) 整理内容并附上链接 (3) 输出 Markdown 文档,命名为"关键词+日期时间"格式 (4) 推荐其他相关方向(不带链接)。触发词:找灵感、收集灵感、设计参考、UI参考、视觉灵感、设计趋势、Dribbble、Pinterest。

ClawHub Agent Skills author: benson126 v1.0.3 MIT-0 6 files body ≈ 1 387 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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: 6. 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 (python) that frontmatter does not declare
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1387 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -220 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 2 example trigger phrases
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill appears to do what it claims: collect design-inspiration links from Dribbble/Pinterest and save local report files, with privacy and file-writing caveats.
LLM: benign (high) · 28 May 2026