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BD Get笔记

Get笔记 - 个人笔记和知识库管理工具。 当用户提到以下意图时使用此技能： 「记一下」「存到笔记」「保存到Get笔记」「记录到Get笔记」 「保存这个链接」「保存这张图」「查我的笔记」「找一下笔记」 「加标签」「删标签」「删笔记」 「查知识库」「建知识库」「把笔记加到知识库」「从知识库移除」 「知识库里订阅了哪些博主」「博主发了什么内容」「直播总结」「直播原文」 「搜一下」「找找我哪些笔记提到了 XX」「在我的 XX 知识库搜一下 XX」 支持：纯文本笔记、链接笔记（自动抓取网页内容并生成摘要）、图片笔记（OCR识别）、知识库管理（含博主订阅列表、直播总结）、语义搜索召回（全局或指定知识库范围）。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 6 files body ≈ 3 671 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Get笔记 - 个人笔记和知识库管理工具。 当用户提到以下意图时使用此技能： 「记一下」「存到笔记」「保存到Get笔记」「记录到Get笔记」 「保存这个链接」「保存这张图」「查我的笔记」「找一下笔记」 「加标签」「删标签」「删笔记」 「查知识库」「建知识库」「把笔记加到知识库」「从知识库移除」…

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
39/100
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 name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 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. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (Get笔记) differs from the folder (get-note1)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 60 steps
  • 100Execution cost. Instruction body is 3671 tokens
  • low 12 top-level sections: this looks like several domains in one skill

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
  • -230 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 305: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (42 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.