# Guardrail Scorecard

> Framework for defining, monitoring, and enforcing guardrail metrics across experiments.

- Skill: `majiayu000/guardrail-scorecard` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/guardrail-scorecard`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/guardrail-scorecard/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/guardrail-scorecard

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# Guardrail Scorecard Skill

## When to Use
- Setting non-negotiable metrics (stability, churn, latency, compliance) before launching tests.
- Monitoring live experiments to ensure guardrails stay within thresholds.
- Reporting guardrail status in launch packets and post-test readouts.

## Framework
1. **Metric Inventory** – list guardrail metrics, owners, data sources, refresh cadence.
2. **Threshold Matrix** – define warning vs critical bands per metric / persona / region.
3. **Alerting & Escalation** – map notification channels, DRI, and decision timelines.
4. **Exception Handling** – document when guardrail overrides are acceptable and required approvals.
5. **Retrospective Loop** – log breaches, mitigations, and rule updates for future tests.

## Templates
- Guardrail register (metric, threshold, owner, alert channel).
- Live monitoring dashboard layout.
- Exception memo structure for approvals.

## Tips
- Tie guardrails to downstream systems (billing, support) to catch second-order impacts.
- Keep thresholds dynamic for seasonality but document logic.
- Pair with `launch-experiment` to ensure readiness before flipping flags.

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