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通过 wolai Open API 操作 wolai 笔记，支持读取页面/块内容、创建各类块（文本、标题、代码、待办、列表、媒体等）、获取数据库、向数据库插入数据、获取/刷新 Token、分页遍历。当用户需要读取 wolai 页面、向 wolai 写入内容、操作 wolai 数据库、或与 wolai 进行任何数据交互时使用此 skill。触发场景：「读取 wolai 页面」、「在 wolai 里写入」、「查询 wolai 数据库」、「往 wolai 插入数据」、「获取 wolai token」、「遍历 wolai 所有内容」等。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 2 files body ≈ 4 855 tokens Open the sourcegithub.com↗ analyzed 2 d ago

通过 wolai Open API 操作 wolai 笔记，支持读取页面/块内容、创建各类块（文本、标题、代码、待办、列表、媒体等）、获取数据库、向数据库插入数据、获取/刷新 Token、分页遍历。当用户需要读取 wolai 页面、向 wolai 写入内容、操作 wolai 数据库、或与 wolai…

As a process D 37/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPersonal productivitySoftware developmentData and analyticstype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
37/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: wolai (LeoYeAI/openclaw-master-skills)

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")
  • note frontmatter-key unknown frontmatter key "disable"
  • note frontmatter-key unknown frontmatter key "runtime"
  • note frontmatter-key unknown frontmatter key "credentials"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 37/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (wolai) differs from the folder (wolai-mcp-skill)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4855 tokens
  • 100Steps. 15 steps

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 267: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (22 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.