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BC yida-dev

钉钉宜搭(yida)低代码平台开发助手。用于：(1) 创建表单和自定义页面 (2) 编写 JS 动作面板代码 (3) 使用 JS-API 操作组件和数据 (4) 配置远程数据源 (5) 设计流程和集成自动化 (6) 解决开发问题

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files body ≈ 238 tokens Open the sourcegithub.com↗ analyzed 3 d ago

钉钉宜搭(yida)低代码平台开发助手。用于：(1) 创建表单和自定义页面 (2) 编写 JS 动作面板代码 (3) 使用 JS-API 操作组件和数据 (4) 配置远程数据源 (5) 设计流程和集成自动化 (6) 解决开发问题

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPersonal productivitytype 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
84/100
safety, quality, tests
Safety 60%
94
Quality 40%
70
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Exfiltration net-credential-use scripts/integration_example.js:49
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.config.baseUrl}${endpoint}?access_token=${accessToken}`, {
    fixture
  • low Exfiltration net-credential-use scripts/server_api_example.js:57
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.baseUrl}/yida/process/start?access_token=${token}`, {
    fixture
  • low Exfiltration net-credential-use scripts/server_api_example.js:83
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.baseUrl}/yida/process/instance/delete?access_token=${token}`, {
    fixture
  • low Exfiltration net-credential-use scripts/server_api_example.js:106
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.baseUrl}/yida/process/instance/terminate?access_token=${token}`, {
    fixture
  • low Exfiltration net-credential-use scripts/server_api_example.js:130
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.baseUrl}/yida/form/instance/query?access_token=${token}`, {
    fixture
  • low Exfiltration net-credential-use scripts/server_api_example.js:154
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
    const response = await fetch(`${this.baseUrl}/yida/form/data/save?access_token=${token}`, {
    fixture

Files scanned: 11. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 238 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 114: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

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