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Synthetic Monitoring
作者
nexscope-ai
· GitHub ↗
· v1.0.0
· MIT-0
152
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install synthetic-monitoring
功能描述
Creates automated synthetic tests and alerting frameworks for key e-commerce user flows across major platforms with data-driven benchmarks and response plans.
使用说明 (SKILL.md)
Synthetic Monitoring
AI-powered synthetic monitoring skill for e-commerce websites. Designs automated user journey tests for add-to-cart, checkout, and payment flows with alerting rules and performance baselines.
Capabilities
- Generates actionable monitoring & alerts frameworks based on your specific business context
- Works across major e-commerce platforms (Amazon, Shopify, Walmart, WooCommerce, Etsy, TikTok Shop)
- Provides data-driven recommendations with industry benchmarks
- Outputs ready-to-implement plans, not just generic advice
Install
clawhub install synthetic-monitoring
Usage
Input: Website URL, critical user flows, SLA targets
Output: Synthetic test suite design, alerting rules, performance baselines, incident response procedures
Example Prompt
"I run a [your business type] on [platform]. Help me set up synthetic monitoring for my business. Here's my current situation: [describe context]."
Limitations
- Requires your specific business data for accurate recommendations
- Market benchmarks are based on US/EU data — adjust for other regions
- Recommendations should be validated against your platform's current policies
- Does not replace dedicated monitoring SaaS tools — designs the strategy and framework
Built by Nexscope AI — AI-powered e-commerce intelligence.
安全使用建议
This skill is instruction-only and low-risk as presented, but exercise normal caution: do not paste secrets or API keys into prompts; verify the skill author (SKILL.md links to nexscope.ai while the registry lists no homepage); validate any monitoring rules it suggests against your platform's policies before implementing; if the agent later asks for platform credentials to generate live tests, consider creating scoped/test credentials and avoid sharing full-production secrets.
功能分析
Type: OpenClaw Skill
Name: synthetic-monitoring
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for designing synthetic monitoring strategies. It lacks any executable code, suspicious network requests, or malicious prompt injection instructions, and its content is entirely consistent with its stated purpose of providing e-commerce monitoring frameworks.
能力评估
Purpose & Capability
The name and description (design synthetic tests, alerting rules, baselines) match the SKILL.md content. The skill makes no surprising requests (no credentials, no system access) and can reasonably produce monitoring plans from a supplied website URL and business context. Minor note: SKILL.md includes a vendor link (nexscope.ai) while registry metadata lists no homepage—this is a small metadata inconsistency but not a functionality mismatch.
Instruction Scope
Runtime instructions are purely descriptive: ask the user for Website URL, critical flows, and SLA targets and output test designs and playbooks. The instructions do not tell the agent to read local files, environment variables, or secret stores, nor to contact external endpoints on its own. The SKILL.md does say it 'requires your specific business data' for accuracy, which is expected for this class of skill.
Install Mechanism
No install spec or code is present; the single 'clawhub install' line is a user-facing usage hint, not an automated install instruction. Because this is instruction-only, nothing is written to disk and there is no external package download risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportional to an advisory/design skill that outputs monitoring plans rather than performing authenticated actions against platforms. Be aware that implementing its recommendations against platforms like Shopify or Amazon would require platform credentials, but those are not requested by this skill.
Persistence & Privilege
always is false and there are no declarations of system-wide persistence or modifications to other skills. Autonomous invocation is permitted (platform default) but combined with the instruction-only nature this does not increase risk.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install synthetic-monitoring - 安装完成后，直接呼叫该 Skill 的名称或使用
/synthetic-monitoring触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Synthetic Monitoring 是什么？
Creates automated synthetic tests and alerting frameworks for key e-commerce user flows across major platforms with data-driven benchmarks and response plans. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 152 次。
如何安装 Synthetic Monitoring？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install synthetic-monitoring」即可一键安装，无需额外配置。
Synthetic Monitoring 是免费的吗？
是的，Synthetic Monitoring 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Synthetic Monitoring 支持哪些平台？
Synthetic Monitoring 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Synthetic Monitoring？
由 nexscope-ai（@nexscope）开发并维护，当前版本 v1.0.0。
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