logging-observability

logging-observability is an Observability & incident response skill for AI agents, published by getsentry in the sentry-mcp repository on GitHub. Skillspace rates logging-observability D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Review code for correct logging and error handling patterns. Use when reviewing code that handles errors, uses logging functions, or captures exceptions. Enforces the error hierarchy where 4xx errors are never logged to Sentry and 5xx errors always are. Trigger phrases include "review logging", "check error handling", "audit observability", or verify correct use of logIssue vs logError.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
775

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.