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BD 建站骨架 (EdgeOne Pages)

一句话说需求，AI 生成完整前后端网站并自动部署到 EdgeOne Pages。支持电商栈（Auth/购物车/支付）、AI 栈（SSE 流式对话）、管理后台。触发词：帮我建网站、建一个电商网站、做 AI 客服站、建管理后台、EdgeOne Pages 建站

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 31 files body ≈ 9 641 tokens Open the sourcegithub.com↗ analyzed 2 d ago

一句话说需求，AI 生成完整前后端网站并自动部署到 EdgeOne Pages。支持电商栈（Auth/购物车/支付）、AI 栈（SSE 流式对话）、管理后台。触发词：帮我建网站、建一个电商网站、做 AI 客服站、建管理后台、EdgeOne Pages 建站

As a process D 35/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationMySQLData and analyticsMarketingtype 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
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
59
Run on models
none yet
Process rating
D
35/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-credential-use references/notification-module.md:140
    Credential used in a network call (verify the destination is the intended service)
    await fetch(`https://api.weixin.qq.com/cgi-bin/message/template/send?access_token=… {
  • low Exfiltration exfil-secret-in-url references/notification-module.md:140
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    await fetch(`https://api.weixin.qq.com/cgi-bin/message/template/send?access_token=… {
    placeholder

Files scanned: 31. 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")
  • warning body-long SKILL.md body ≈ 9641 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 35/100

  • 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. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (建站骨架 (EdgeOne Pages)) differs from the folder (edgeone-website-skeleton)
  • 40Execution cost. Instruction body is 9641 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 43 steps
  • low 21 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
  • -237 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (36 code blocks)
  • +4Reference files are cited in the instructions (11 of 11)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.