SKILLEMALL.ai
GitHub ↗ RU Sign in

AD website-monitor

构建一个自定义网站监控系统，能够每5分钟检测目标网站的HTTP状态码和响应时延， 并在每天早上9点自动生成一份基于监控数据的HTML网页报告。 当用户提到以下场景时，请务必使用此 skill： - 想要监控某个或多个网站是否正常运行 - 想要记录网站的响应时间、延迟、可用性 - 想要定时检查 HTTP 状态码（200、404、500 等） - 想要生成网站健康状况报告或可视化图表 - 提到"网站监控"、"可用性检测"、"uptime"、"健康检查"、"HTTP 探测"等关键词 - 想要每日汇总、每天早上自动发报告等定时报告需求

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 2 files body ≈ 3 897 tokens Open the sourcegithub.com↗ analyzed 2 d ago

构建一个自定义网站监控系统，能够每5分钟检测目标网站的HTTP状态码和响应时延， 并在每天早上9点自动生成一份基于监控数据的HTML网页报告。 当用户提到以下场景时，请务必使用此 skill： - 想要监控某个或多个网站是否正常运行 - 想要记录网站的响应时间、延迟、可用性 - 想要定时检查 HTTP…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureDockerInfrastructureData 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
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
77
Run on models
none yet
Process rating
D
49/100
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-background-process SKILL.md:503
    Starts a background / autostarted process
    sudo systemctl enable website-monitor

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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (website-monitor) differs from the folder (website-monitor-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 3897 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 266: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.