agent-observability-experiment-analyzer

agent-observability-experiment-analyzer is an LLM evaluation & observability skill for AI agents, published by datadog-labs in the agent-skills repository on GitHub. Skillspace rates agent-observability-experiment-analyzer C (76/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.

Grade
C
Quality
76 / 100
Safety
Passed
GitHub stars
142

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 GitHubdatadog-labs/agent-skills

Our review

Architecture
91 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 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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