log-analysis
Analyze application logs to identify errors, performance issues, and security anomalies. Use when debugging issues, monitoring system health, or investigating incidents. Handles various log formats including Apache, Nginx, application logs, and JSON logs.
80
82%
Does it follow best practices?
Impact
60%
1.46xAverage score across 3 eval scenarios
Passed
No known issues
Evaluation results
38%
11%Web Application Security Review
Security anomaly detection
SQL injection grep pattern
0%
16%
XSS grep pattern
0%
16%
Directory traversal pattern
0%
20%
Brute force login pattern
0%
16%
IP-based analysis
0%
40%
Report: Summary section
70%
90%
Report: Error analysis table
30%
30%
Report: Recommended actions
90%
60%
Sensitive info masked
100%
100%
Report heading
0%
0%
57%
34%API Gateway Performance Investigation
Performance and traffic analysis
Response time extraction
0%
33%
Slow request threshold
0%
33%
Requests per endpoint
0%
33%
Traffic volume by time
0%
33%
HTTP 5xx error detection
0%
83%
Report: Summary section
40%
100%
Report: Error analysis table
60%
70%
Report: Recommended actions
87%
87%
Time range defined
100%
100%
85%
10%Production Outage Post-Mortem Investigation
Error pattern analysis and incident scripting
Context grep flags used
0%
0%
Time-based error grouping
93%
100%
Grep patterns scripted
100%
100%
Compressed log search
93%
100%
Report: Summary section
50%
100%
Report: Error analysis table
80%
100%
Report: Recommended actions
100%
100%
Time window defined
100%
100%
- Repository
- supercent-io/skills-template
- Commit
c033769
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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