CtrlK
BlogDocsLog inGet started
Tessl Logo

testland/guardrail-metrics-reference

Pure-reference catalog of guardrail-metric methodology for online controlled experiments. Defines guardrail metrics (metrics that must NOT degrade for an experiment to ship, even if the primary metric improves), the standard guardrail set (latency / errors / engagement / opt-out), the relationship to OEC (Overall Evaluation Criterion) per Kohavi et al., and pre-commitment of the metric set. The quantitative evaluation mechanics (per-metric alert/block thresholds, Bonferroni / Benjamini-Hochberg multiple-comparison correction) live in references/. Use when designing the metric set for a new experiment, auditing existing experiment configs, or reviewing experiment results before ship-decisions.

75

Quality

94%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Overview
Quality
Evals
Security
Files

tile.json

{
  "name": "testland/guardrail-metrics-reference",
  "version": "1.1.12",
  "summary": "Pure-reference catalog of guardrail-metric methodology for online controlled experiments. Defines guardrail metrics (metrics that must NOT degrade for an experiment to ship, even if the primary metric improves), the standard guardrail set (latency / errors / engagement / opt-out), the relationship to OEC (Overall Evaluation Criterion) per Kohavi et al., and pre-commitment of the metric set. The quantitative evaluation mechanics (per-metric alert/block thresholds, Bonferroni / Benjamini-Hochberg multiple-comparison correction) live in references/. Use when designing the metric set for a new experiment, auditing existing experiment configs, or reviewing experiment results before ship-decisions.",
  "private": false,
  "skills": {
    "guardrail-metrics-reference": {
      "path": "SKILL.md"
    }
  }
}

SKILL.md

tile.json