tsh-implementing-observability

tsh-implementing-observability is an Observability & incident response skill for AI agents, published by TheSoftwareHouse in the copilot-collections repository on GitHub. Skillspace rates tsh-implementing-observability D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Observability patterns for logging, monitoring, alerting, and distributed tracing. Use when implementing metrics collection, log aggregation, alerting rules, or distributed tracing across services.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
276

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

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

View source on GitHubTheSoftwareHouse/copilot-collections

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked 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

Better-rated skills in Observability & incident response

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