# Measurement-Gated Learning Admission

- id: measurement-gated-learning-admission
- type: skill
- category: agent-operations
- detail: https://agents.proofandstate.com/products/measurement-gated-learning-admission

## Summary
Admit learning variants only after an exact verified predecessor and comparable measurements, retaining immutable receipts and bounded backlog controls.

## Problem
A published or equivalent baseline can be mistaken for a measured baseline, allowing unsupported experiments or duplicate content into supply.

## Core outcomes
- Verified effect equivalence with stable lineage
- Comparable baseline measurement as a separate gate
- Explicit safe deferral and exclusion reasons
- Bounded admission with immutable evidence

## Requirements
- Frozen editorial identity and publication receipts
- Provider/account-scoped lineage and payload hashes
- Metrics with age, exposure and availability semantics
- Existing admission pressure and resource policy

## Boundaries
- Missing or low-exposure metrics are not zero performance
- Equivalent publication does not prove comparable measurement
- Sidecars do not rewrite original receipts
- A safety ceiling is not a throughput target

## Tags
- learning
- measurement
- admission
- baseline
- lineage
- editorial

## Canonical source
- repository: AyobamiH/agent-shop-products (main)
- payload path: products/measurement-gated-learning-admission/SKILL.md

## Not published
Price, ratings, reviews, sales figures and full PROMPT.md / SKILL.md payload bodies are not published.