exploring-mcp-intent-clusters

exploring-mcp-intent-clusters is an LLM evaluation & observability skill for AI agents, published by PostHog in the ai-plugin repository on GitHub. Skillspace rates exploring-mcp-intent-clusters D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Explore PostHog MCP intent clusters — agent goals grouped by semantic similarity, with each cluster's tool distribution and error rates. Use when the user asks "what are agents trying to do with the MCP?", "group the intents", "which goals fail most?", "what does each cluster route to?", wants to recompute the clustering, or pastes an MCP analytics intent-clustering URL.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
59

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.

View source on GitHubPostHog/ai-plugin

Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 2 other repositories, in 1 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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