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Install in OpenClaw
/install neo1307-log-analyzer
Description
Read a log file, extract ERROR/WARN/CRITICAL lines, group similar messages, and produce a concise summary report. Use when analyzing application logs, agent...
README (SKILL.md)
Log Analyzer
Read a target log file, isolate important severity lines, group similar messages, and emit a Markdown summary.
Workflow
- Confirm the input log path.
- Run
index.jswith--input \x3Clogfile>and optional--out \x3Creport.md>. - Review the grouped output for dominant error families.
- Use the report as a triage artifact, not as the only source of truth.
Output
Always include:
- total scanned lines
- WARN / ERROR / CRITICAL counts
- grouped issue buckets
- sample lines
- suggested first checks
Usage Guidance
This tool appears coherent and contains no hidden network or credential access. Before running, confirm the input path points only to logs you want analyzed (do not point it at sensitive system files like /etc/shadow, SSH keys, or other secrets). The script writes a Markdown file (default ./out/log_analysis_report.md) in the current working directory. Run it in a controlled environment if you are unsure, and inspect the generated report and console output. If you need stricter isolation, run it inside a container or VM.
Capability Analysis
Type: OpenClaw Skill
Name: neo1307-log-analyzer
Version: 1.0.0
The log-analyzer skill performs local log file parsing, filtering for severity keywords (WARN/ERROR/CRITICAL), and grouping similar messages into a Markdown report. The code in index.js uses standard Node.js file system APIs to read and write files without any network activity, environment variable access, or suspicious execution patterns. The instructions in SKILL.md are consistent with the code's functionality and do not contain prompt injection attempts.
Capability Assessment
Purpose & Capability
Name, description, SKILL.md, and index.js all align: the code reads an input log, extracts severity lines, groups similar messages, and writes a report. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs running index.js with an --input path. The runtime code will read whatever file path the user supplies (and will write a report to the working directory by default). This is expected for a log analyzer, but the user should avoid pointing it at sensitive system files.
Install Mechanism
No install spec — instruction-only skill with a small included Node.js script. Nothing is downloaded or installed by the skill itself.
Credentials
The skill requests no environment variables or credentials and does not read other config paths. Its access to the filesystem is limited to the user-specified input path and a user-writable output path.
Persistence & Privilege
always:false and normal invocation. The script writes a report file (default ./out/log_analysis_report.md) and prints a small JSON result to stdout — no attempt to persist beyond that or modify other skills/settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install neo1307-log-analyzer - After installation, invoke the skill by name or use
/neo1307-log-analyzer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Log Analyzer?
Read a log file, extract ERROR/WARN/CRITICAL lines, group similar messages, and produce a concise summary report. Use when analyzing application logs, agent... It is an AI Agent Skill for Claude Code / OpenClaw, with 215 downloads so far.
How do I install Log Analyzer?
Run "/install neo1307-log-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Log Analyzer free?
Yes, Log Analyzer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Log Analyzer support?
Log Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Log Analyzer?
It is built and maintained by neo1307 (@neo1307); the current version is v1.0.0.
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