agent-evals-and-observability
bymagnus919· 58 skills
Design, run, review, or release framework- and vendor-neutral evaluations and observability for AI agents. Use when defining agent evals, datasets, graders, trajectory review, regression analysis, release gates, production traces, or privacy-aware telemetry. Covers task and trajectory contracts, statistical comparisons, and incident-to-case learning; route framework implementation to pydanticai or langgraph when needed.
How to install agent-evals-and-observability?
magnus919/agent-skills/agent-evals-and-observability
$npx -y skills add magnus919/agent-skills --skill agent-evals-and-observabilityInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/magnus919/agent-skills" --skill "magnus919/agent-skills/agent-evals-and-observability"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/magnus919/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/magnus919/agent-skills"` and select the relevant skills, then follow their instructions.
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