pg-connection-analysis

pg-connection-analysis is a Backend performance & caching skill for AI agents, published by isdaniel in the pgtuner_mcp repository on GitHub. Skillspace rates pg-connection-analysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Analyzes PostgreSQL connection utilization patterns including active, idle, and idle-in-transaction sessions. Diagnoses connection leaks, saturation, and provides PgBouncer pooling recommendations. Guides the agent to use get_active_queries with targeted filters and health resources for connection monitoring.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
25

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 GitHubisdaniel/pgtuner_mcp

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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

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