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monitoring-error-rates

5.8

by jeremylongshore

170Favorites
77Upvotes
0Downvotes

Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like "monitor error rates", "track application errors", or "analyze error patterns".

monitoring

5.8

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides a well-structured overview of error rate monitoring with clear sections and good organization. The description adequately covers capabilities including HTTP errors, exceptions, and database issues. The SKILL.md references scripts (analyze_errors.py, generate_error_report.py, set_alert_threshold.py) that presumably implement the monitoring functionality. However, the novelty score is low because error rate monitoring is a common task that CLI agents with standard tools (grep, log analysis, basic scripting) can handle reasonably well. The skill doesn't demonstrate significant complexity or token reduction that would justify packaging it as a specialized skill versus using basic CLI commands and readily available monitoring tools. The task knowledge is solid with clear steps and integration points, but the actual implementation details would need to be in the referenced scripts.

LLM Signals

Description coverage7
Task knowledge7
Structure8
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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