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Ai Intelligent Alerting System

Name: Ai Intelligent Alerting System
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.3 · MIT-0

cross-platform ⚠ suspicious

368

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-intelligent-alerting-system

功能描述

告警管理，智能告警 + 告警收敛。

使用说明 (SKILL.md)

AI 智能告警系统

描述

告警管理，智能告警 + 告警收敛。

功能

智能告警（AI识别）
告警收敛（去重合并）
告警分级（级别划分）
告警路由（智能路由）
通知渠道（多渠道）

定价

基础版：¥99/月（100 告警/月）
专业版：¥499/月（1000 告警/月）
企业版：¥1999/月（无限告警）

适用场景

系统告警
应用告警
业务告警
运维告警

技术栈

Python + FastAPI
告警引擎
告警收敛
通知集成

安装

git clone https://github.com/openclaw-skills/ai-intelligent-alerting-system
cd ai-intelligent-alerting-system
pip install -r requirements.txt
python app.py

创建：2026-03-13 作者：OpenClaw Skills Team

安全使用建议

Do not blindly run the 'git clone' + 'pip install' + 'python app.py' steps from this SKILL.md. Before installing: (1) inspect the referenced GitHub repository (https://github.com/openclaw-skills/ai-intelligent-alerting-system) and review its code and README to confirm provenance and expected behavior; (2) check for required credentials/configuration and avoid supplying sensitive org/cloud credentials until you know which services are used; (3) run the project in an isolated environment (container or VM) and as a non-root user; (4) prefer an official install spec or a vetted package over ad-hoc clone-and-run; (5) ask the skill author to declare required binaries and env vars in the registry metadata and to supply a reproducible, auditable install mechanism. These steps reduce the risk of executing unexpected or malicious code.

功能分析

Type: OpenClaw Skill Name: ai-intelligent-alerting-system Version: 1.0.3 The skill bundle contains only metadata and documentation for an 'AI Intelligent Alerting System.' The SKILL.md file describes standard features such as alert convergence, grading, and routing, and provides typical installation instructions for a Python/FastAPI project. No executable code, suspicious network calls, or prompt-injection attempts were found in the provided files (_meta.json, SKILL.md).

能力评估

ℹ Purpose & Capability

The skill's stated purpose (AI alerting and deduplication) is plausible for the installation steps shown in SKILL.md, but the registry metadata lists no required binaries or environment variables while the instructions explicitly use git, pip, and python. That mismatch between declared requirements and the runtime instructions is an inconsistency (likely sloppy packaging) and should be resolved.

⚠ Instruction Scope

The SKILL.md directs the agent (and user) to 'git clone' a GitHub repository and run 'pip install -r requirements.txt' and 'python app.py' — i.e., fetch and execute third-party code. The instructions provide no guidance about configuration, credentials, or what data the app will access or transmit. Instruction-only skills that tell an agent to fetch and run code are higher risk because they cause arbitrary code execution outside the registry's review.

ℹ Install Mechanism

There is no formal install spec in the registry, but the embedded SKILL.md uses git clone from GitHub (a well-known host). Cloning from GitHub is expected for open-source projects, but the absence of an explicit install spec in the skill metadata means the agent/platform won't have a vetted installation plan — the runtime instructions effectively become the install step.

ℹ Credentials

The registry declares no required env vars or credentials, yet an alerting system that integrates notification channels almost certainly needs API keys or tokens (e.g., email, Slack, SMS, monitoring APIs). The SKILL.md does not declare or explain any required secrets or configuration, creating a transparency gap about what credentials you would need to provide.

✓ Persistence & Privilege

The skill does not request 'always: true' and uses default model invocation settings; it does not claim to modify other skills or system-wide settings. However, because it instructs fetching and running a service, granting it autonomous invocation combined with executing downloaded code would increase risk — consider this when enabling autonomous use.

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 ai-intelligent-alerting-system
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-intelligent-alerting-system 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

v1.0.3

Version 1.0.3 - No file changes detected in this release. - No updates or new features introduced; functionality remains as in version 1.0.2.

v1.0.2

- Bump version number to 1.0.2 in SKILL.md. - No other content changes.

v1.0.1

- Bumped version to 1.0.1 in SKILL.md. - No functional or documentation changes; version update only.

v1.0.0

定期更新

元数据

Slug ai-intelligent-alerting-system

版本 1.0.3

许可证 MIT-0

累计安装 3

当前安装数 3

历史版本数 4

常见问题