foundations-measurement-theory SKILL.md skillA

foundations-measurement-theory from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vasilyu1983/ai-agents-public/foundations-measurement-theory@v1.1

Pins v1.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
vasilyu1983/ai-agents-public
Path
skills/universal/foundations-measurement-theory/SKILL.md
Versions recorded
2
Latest version
v1.1, committed Oct 12, 2026
First version recorded
Oct 5, 2026
Size
5,045 bytes
Repository stars
101
License
MIT

Audits whether scores, benchmarks, LLM judges, or surveys measure what we think. Use when a benchmark is saturated, a score unreliable, or judge agreement untrustworthy.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Measurement Theory Foundations

Establish whether an observation supports its intended interpretation and decision. A repeatable score can consistently measure the wrong thing.

## When to use

**Use when** a task asks whether a metric, questionnaire, benchmark, sensor, rating, or composite score measures its intended target, or whether scores can be compared across groups, instruments, or time.

**Do not use when** the task is only sampling uncertainty, causal identification, choosing an action, or implementing an evaluation pipeline. Those belong respectively to [statistical inference](../foundations-statistical-inference/SKILL.md), [causal inference](../foundations-causal-inference/SKILL.md), [decision theory](../foundations-decision-theory/SKILL.md), and [ai-evals](../ai-evals/SKILL.md).

## Workflow

1. Define the intended interpretation, population, decision, and cost of measurement error. Identify what is observed and what remains latent.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vasilyu1983/ai-agents-public/foundations-measurement-theory@sha256:bb7b449f11b23b11

The line at the top of this page pins the label v1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_psv7oyrkgiojngod.svg)](https://markdownregistry.com/a/art_psv7oyrkgiojngod)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 12, 2026, about one every 7 days.

versioncommittedcommitsizeaudit
v1.1 latest2026-10-12 34b57f4 5,045 BA view · diff
v1.12026-10-05 5db538c 4,832 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5045 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_psv7oyrkgiojngod
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-measurement-theory
GET https://markdownregistry.com/api/v1/blob/bb7b449f11b23b11367468769cf66a7626c5d64aff91cc4a64e2829b52989494

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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