← Back to Skills Marketplace
godyounger

Log Analyzer Dashboard

by GodYoung · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
310
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install system-log-analyzer
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install system-log-analyzer
  3. After installation, invoke the skill by name or use /system-log-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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).
Metadata
Slug system-log-analyzer
Version 1.0.2
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Log Analyzer Dashboard?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 310 downloads so far.

How do I install Log Analyzer Dashboard?

Run "/install system-log-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Log Analyzer Dashboard free?

Yes, Log Analyzer Dashboard is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Log Analyzer Dashboard support?

Log Analyzer Dashboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Log Analyzer Dashboard?

It is built and maintained by GodYoung (@godyounger); the current version is v1.0.2.

💬 Comments