SKILLEMALL.ai

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速记板——一个零依赖、纯前端的「碎片化文字收集 + 图片管理 + 整理 + 导出 Word」单文件网页应用。当用户需要:收集/摘录散落各处的文字、自动编号整理要点、按主题用文件夹归档文档、粘贴或拖拽管理图片、把零散文字一键导出成标准 .docx 文件,或要求"做个文字收集板/速记工具/剪贴板整理器/资料归档页"时使用。也适用于"把一段 HTML 做成可安装的 skill"这类交付需求。

ClawHub Agent Skills author: weijunz766-collab v1.8.0 MIT-0 4 files body ≈ 381 tokens Open the sourceclawhub.ai analyzed 2 d ago

速记板——一个零依赖、纯前端的「碎片化文字收集 + 图片管理 + 整理 + 导出 Word」单文件网页应用。当用户需要:收集/摘录散落各处的文字、自动编号整理要点、按主题用文件夹归档文档、粘贴或拖拽管理图片、把零散文字一键导出成标准 .docx…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWordSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
48/100
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: 2. 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 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 381 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 19 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The skill is a coherent local note board, but it can retain pasted and uploaded private content longer than users may expect and includes under-disclosed external update and feedback links.
LLM: suspicious (high) · VirusTotal: · 20 Aug 2026