SKILLEMALL.ai

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印象笔记(中国版)集成 skill。使用 Developer Token 在印象笔记中创建、整理和搜索笔记。支持笔记本列表、创建笔记、更新笔记内容/标签、移动笔记到废纸篓、查看/清空废纸篓、搜索内容、增量同步到 Obsidian vault。适用于使用 app.yinxiang.com 的用户。

ClawHub Agent Skills author: suepradun v1.0.0 MIT-0 15 files · 11 scripts body ≈ 1 239 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

印象笔记(中国版)集成 skill。使用 Developer Token 在印象笔记中创建、整理和搜索笔记。支持笔记本列表、创建笔记、更新笔记内容/标签、移动笔记到废纸篓、查看/清空废纸篓、搜索内容、增量同步到 Obsidian vault。适用于使用 app.yinxiang.com 的用户。

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureObsidianSoftware developmentPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
D
43/100
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: 15. 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 43/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1239 tokens

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -32 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 148: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This Evernote China skill mostly matches its stated purpose, but it needs Review because it handles account tokens unsafely, includes an undocumented note export script, and can permanently delete or persist note data.
LLM: suspicious (high) · VirusTotal: · 14 Sept 2026