Log Analyzer
SkillMonitoring & opsParse application logs, surface error clusters, and summarize failure patterns
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Log Analyzer skill
What this skill tells your AI
The instructions your AI receives, as published by stbenjam/skillsaw in tests/fixtures/agentskills/unreferenced-broken/log-analyzer/SKILL.md and read by ahel’s review.
Parse application log files, group recurring errors, and produce a summary of failure patterns.
When to Use This Skill
Use when the user asks to analyze logs, find recurring errors, or summarize failures from a log file.
Implementation Steps
Step 1: Run the Analyzer
Run the bundled analyzer against the log file:
python scripts/analyze.py --input app.log --format json
Step 2: Classify Failures
Match each error cluster against the known failure patterns documented in the pattern reference.
Step 3: Summarize
Report the top error clusters with counts, first/last occurrence timestamps, and the matched pattern name.
Signals
- GitHub stars
- 66
- Forks
- 15
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
log-analyzer-stbenjam- Source
- github.com/stbenjam/skillsaw