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在 OpenClaw 中安装
/install splunk-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 do what it says: run a local Streamlit dashboard to analyze log files. Before installing/running: (1) review the included log-analyzer.py yourself (it is provided) to confirm no unexpected network calls or data exfiltration; (2) run it as a non‑privileged user and avoid pointing it at sensitive system directories unless you intend to examine those logs; (3) run dependencies in a virtualenv or container to avoid polluting system Python; (4) the Streamlit server listens on a port—ensure the host binding/ firewall settings prevent exposing the UI to untrusted networks (only expose to localhost if you want it local-only). If you need higher assurance, run the skill in an isolated container and test with non-sensitive sample logs first.
功能分析
Type: OpenClaw Skill
Name: splunk-log-analyzer
Version: 1.0.1
The 'splunk-log-analyzer' skill is a legitimate local log analysis tool built with Streamlit, Pandas, and Plotly. Analysis of 'log-analyzer.py' and 'start-log-analyzer.sh' shows the code performs standard file parsing, statistical analysis, and visualization without any network exfiltration, obfuscation, or unauthorized command execution. While it includes a hardcoded default path (/Users/godyoung/splunk/logs), this is a configurable UI default and does not represent malicious intent.
能力评估
Purpose & Capability
Name/description (local log analysis) matches what is provided: a Streamlit app (log-analyzer.py) and a small start script. Declared required binary (streamlit) and Python libraries (streamlit, pandas, plotly) are exactly what the app needs; there are no unrelated credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md instructs launching the Streamlit app and describes only local operations (selecting a log directory, file patterns, UI options). The code reads and parses local files (user-specified directories) which is expected for this purpose. There are no instructions or code paths that reference external endpoints, environment secrets, or unrelated system configuration.
Install Mechanism
There is no registry-level install spec; the SKILL.md includes recommended pip installs for streamlit, pandas, and plotly. Those are reasonable and proportionate. The package sources are standard Python packages (pip) and no arbitrary downloads or archive extraction are present.
Credentials
The skill declares no required environment variables or credentials and the code does not reference environment secrets. It only needs local filesystem access to read log files, which is consistent with its purpose.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated privileges, does not modify other skills or global agent settings, and does not persist credentials. Running creates only a local Streamlit server process.
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 splunk-log-analyzer - 安装完成后,直接呼叫该 Skill 的名称或使用
/splunk-log-analyzer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
v1.0.1
- 重构为纯本地日志分析系统,不再依赖外部服务或云面板
- 新增 log-analyzer.py 主程序与 start-log-analyzer.sh 启动脚本
- 删除原有 Streamlit 前端实现代码及辅助脚本、文档(包括 main.py 等)
- SKILL.md 现包含详细本地部署、功能、依赖说明和架构文档
- 支持日志统计、重复分析、错误与异常检测等多功能一体
- 全新 YAML 风格 metadata 区块,精简配置与依赖管理
v1.0.0
Initial release: Real-time Splunk log analysis dashboard with attack and error monitoring. Supports SQL injection, XSS, brute force, path traversal, command injection, CSRF, and SSRF attack detection.
元数据
常见问题
Splunk 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 352 次。
如何安装 Splunk Log Analyzer Dashboard?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install splunk-log-analyzer」即可一键安装,无需额外配置。
Splunk Log Analyzer Dashboard 是免费的吗?
是的,Splunk Log Analyzer Dashboard 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Splunk Log Analyzer Dashboard 支持哪些平台?
Splunk 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 Splunk Log Analyzer Dashboard?
由 GodYoung(@godyounger)开发并维护,当前版本 v1.0.1。
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