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Log Analyzer Dashboard

作者 GodYoung · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
310
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install system-log-analyzer
功能描述
纯本地日志分析系统,支持日志统计、重复检测、错误分析和异常识别
安全使用建议
This skill appears to be a straightforward local Streamlit log-analyzer. Before installing/running: 1) Inspect the included Python file yourself (it's present and readable) to confirm behavior; 2) Be mindful of which directories you point the tool at — it will read any files you allow (including system logs); 3) Install Python packages from a trusted environment (pip installs are required); 4) Run the Streamlit server on localhost only (or bind appropriately) to avoid exposing logs on the network; 5) If you need to analyze logs containing secrets or PII, run the tool on an isolated host or with restricted file permissions. If you want extra assurance, run it in a sandbox/container and review the code for any telemetry or network configuration before use.
功能分析
Type: OpenClaw Skill Name: system-log-analyzer Version: 1.0.2 The 'system-log-analyzer' skill is a legitimate local log analysis tool using Streamlit, Pandas, and Plotly. It performs log parsing, error detection, and statistical anomaly detection on local files as described in SKILL.md and log-analyzer.py. No evidence of data exfiltration, unauthorized network access, or malicious intent was found; the tool operates entirely locally on a user-specified directory.
能力评估
Purpose & Capability
Name/description (local log analysis) match the provided files and runtime requirements: a Streamlit Python app (log-analyzer.py) and a shell launcher. Required binary 'streamlit' and listed Python libs (pandas, plotly) are appropriate for the described functionality.
Instruction Scope
SKILL.md instructs running the Streamlit app from the skill workspace and describes selecting a local log directory. That matches the purpose. Note: the app is designed to read arbitrary local log directories (e.g., /var/log); this is expected but means the skill will access any files the user points it at, so users should avoid pointing it at sensitive directories unless they intend that. SKILL.md also states 'no external connection' — the code itself contains no outbound network calls, but Streamlit and installed libraries may include telemetry or could be configured to serve on a network interface; consider network exposure when running.
Install Mechanism
There is no high-risk remote download. Dependencies are normal Python packages (streamlit, pandas, plotly) listed in the SKILL.md 'install' section. Installation via pip is expected for this kind of skill and proportional to its function.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The files and instructions do not attempt to read environment secrets. That matches the local log-analysis purpose.
Persistence & Privilege
always is false, and the skill does not request special platform privileges or modify other skills. It runs as a local Streamlit app in the skill workspace, which is a normal level of persistence for a UI tool.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install system-log-analyzer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /system-log-analyzer 触发
  4. 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
v1.0.2
- Initial public release of log-analyzer as a local log analysis system. - Provides three main modules: data ingestion diagnostics, index performance optimization, and error/exception monitoring. - Web-based interface (Streamlit) for statistics, duplicate detection, error analysis, and anomaly identification. - Supports configurable log directory, file patterns, and analysis options. - Works fully offline; no cloud or external connections required. - Requires Python 3, Streamlit, Pandas, and Plotly (autodetected/auto-installed on first use).
元数据
Slug system-log-analyzer
版本 1.0.2
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Log Analyzer Dashboard 是什么?

纯本地日志分析系统,支持日志统计、重复检测、错误分析和异常识别. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 310 次。

如何安装 Log Analyzer Dashboard?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install system-log-analyzer」即可一键安装,无需额外配置。

Log Analyzer Dashboard 是免费的吗?

是的,Log Analyzer Dashboard 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Log Analyzer Dashboard 支持哪些平台?

Log Analyzer Dashboard 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 Log Analyzer Dashboard?

由 GodYoung(@godyounger)开发并维护,当前版本 v1.0.2。

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