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Agent skill

Msa Gauge Rr

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems.

MITAuto-check passedResearch & Science

Install Msa Gauge Rr

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill msa-gauge-rr -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins msa-gauge-rr --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/RBraga01/Quality-Engineering-Skills/skills/measurement/msa-gauge-rr .claude/skills/msa-gauge-rr && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
msa-gauge-rr
GitHub stars
1.3k
Token cost
~2.5k tokens
SKILL.md length
1,197 words
Files
2 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems.

  • Works in 5 steps: Select the MSA study type → Crossed Gauge R&R study procedure → Interpret the results → …
  • Qualifying a gauge for a new part
  • SKILL.md covers When to use, Prerequisites, Workflow and Validation criteria, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Msa Gauge Rr is an agent skill from hashgraph-online/awesome-codex-plugins. Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems. Use when qualifying a gauge for a new part, validating a measurement system before PPAP, interpreting Gauge R&R results, or auditing MSA studies for adequacy. Covers AIAG MSA 4th edition.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/gauge-rr-study-guide.md`).

It sits in Research & Science, covering Reproducible research. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Qualifying a gauge for a new part
  • Validating a measurement system before PPAP
  • Interpreting Gauge R&R results
  • Auditing MSA studies for adequacy

Example prompts

  • “/msa-gauge-rr”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Select the MSA study type
  2. Crossed Gauge R&R study procedure
  3. Interpret the results
  4. Attribute MSA (pass/fail gauges)
  5. Audit an existing MSA study

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Msa Gauge Rr loads about 2.5k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 1,197 words, ~2,461 tokens.

Download SKILL.mdSave it as .claude/skills/msa-gauge-rr/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
msa-gauge-rr
description
Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems. Use when qualifying a gauge for a new part, validating a measurement system before PPAP, interpreting Gauge R&R results, or auditing MSA studies for adequacy. Covers AIAG MSA 4th edition.
license
MIT
metadata.author
RBraga01
metadata.version
1.1
metadata.iso-9001
7.1.5
metadata.iatf-16949
7.1.5.1, 7.1.5.2
metadata.aiag-reference
AIAG MSA 4th Edition
metadata.domain
quality-engineering
metadata.subdomain
measurement
metadata.industries
automotive,electronics,aerospace,medical,general
metadata.status
approved

Measurement System Analysis (MSA) / Gauge R&R

When to use

Use this skill when:

  • Qualifying a measurement system for a new part or process (PPAP requirement)
  • Interpreting Gauge R&R results — is this gauge acceptable?
  • Auditing a supplier's MSA study for correctness and adequacy
  • Selecting the right study type for a given measurement situation
  • Investigating a quality problem where measurement error may be a factor
  • Responding to a customer request for MSA data on a specific characteristic

Prerequisites

  • The characteristic to be measured (product or process)
  • The gauge or measurement system to be studied
  • Production parts spanning the expected process variation (10 parts minimum)
  • At least 2 trained appraisers who normally perform the measurement
  • The specification (tolerance) for the characteristic

Workflow

Step 1 — Select the MSA study type
Study typeWhen to use
Gauge R&R (crossed)Variable data, 2–3 appraisers, each measures all parts (most common)
Gauge R&R (nested)Variable data, parts are destroyed during measurement (e.g., tensile test)
Attribute MSAPass/fail, go/no-go, visual inspection — data is not a number
Bias studyAccuracy of a single gauge vs. a reference standard
Linearity studyWhether gauge accuracy is consistent across its measurement range
Stability studyWhether gauge accuracy drifts over time

For PPAP: Crossed Gauge R&R is required for all variable gauges on special characteristics.

Step 2 — Crossed Gauge R&R study procedure

Setup:

  • Minimum 10 parts selected to represent the full process variation range (not cherry-picked from centre of tolerance)
  • Minimum 2 appraisers (3 preferred)
  • Minimum 2 trials per appraiser per part (3 preferred)
  • Parts randomly numbered and labelled — appraisers must not see each other's measurements
  • Measurement conditions must match normal production conditions

Standard study design:

  • 10 parts × 3 appraisers × 2 trials = 60 measurements
  • 10 parts × 2 appraisers × 3 trials = 60 measurements

Execution:

  1. Appraiser A measures all 10 parts in random order — record results
  2. Appraiser B measures all 10 parts in random order — record results
  3. Appraiser C measures all 10 parts in random order — record results
  4. Repeat the cycle for trial 2 (and trial 3 if applicable)
  5. Appraisers must not see their own previous results or other appraisers' results during the study

Do NOT:

  • Allow appraisers to adjust the gauge between trials
  • Use parts that are all near the nominal value (no spread)
  • Record only one trial (single measurement per appraiser per part is insufficient)
Step 3 — Interpret the results
%GRR (Gauge R&R as % of Total Variation or % of Tolerance)
%GRRInterpretationDecision
< 10%Excellent✅ Gauge accepted
10% – 30%Marginal⚠️ May be acceptable based on application — requires engineering review and customer approval
> 30%Unacceptable❌ Gauge not suitable — investigate and improve before use in production

Two calculation methods:

  • % of Study Variation (% of TV): GRR / Total Variation × 100 — preferred when process is in control
  • % of Tolerance: GRR / Tolerance × 100 — use when process capability is unknown or for attribute gauging

For PPAP, %GRR < 30% (tolerance method) is the typical customer acceptance criterion. <10% is the target.

Number of Distinct Categories (ndc)

ndc = 1.41 × (Part Variation / GRR)

ndcInterpretation
≥ 5✅ Gauge can distinguish adequate number of categories
3 – 4⚠️ Gauge can be used for go/no-go decisions only
1 – 2❌ Gauge cannot distinguish parts — unacceptable

ndc ≥ 5 is required for measurement systems used on special characteristics.

Repeatability vs. Reproducibility
ComponentDescriptionCommon cause
EV (Equipment Variation / Repeatability)Variation when same appraiser measures same part multiple timesGauge imprecision, worn parts, environment
AV (Appraiser Variation / Reproducibility)Variation between different appraisers measuring the same partTraining inconsistency, measurement technique, gauge setup

If EV > AV: investigate gauge (calibration, maintenance, resolution) If AV > EV: investigate training, measurement procedure, gauge fixture/setup

When %GRR > 30% — improving the measurement system

A result >30% means the gauge is not suitable for production use. Do not proceed to PPAP — investigate and retest. Common root causes and actions:

Root cause (high EV)Action
Gauge resolution too coarseReplace with a gauge of finer resolution (rule: resolution ≤ 10% of tolerance)
Gauge worn or damagedInspect, recalibrate, or replace the gauge
Environmental interference (vibration, temperature)Move measurement to a stable environment; add fixture if needed
Inconsistent part fixturingDesign a repeatable fixture or measurement aid
Root cause (high AV)Action
Measurement technique varies by appraiserDevelop a standardised measurement instruction (WI with photos/video)
Gauge difficult to read or positionRedesign fixture; add a datum locator; use a self-positioning gauge
Training gapRetrain all appraisers using the standardised measurement WI; repeat the study

After implementing improvements: re-run the full study. Do not accept a %GRR > 30% result with a customer waiver unless the characteristic is non-critical and the customer explicitly agrees in writing.

Show full SKILL.md (440 more words)Show less
Step 4 — Attribute MSA (pass/fail gauges)

For go/no-go gauges, visual inspection, and any pass/fail decision:

Expanded attribute study (recommended for PPAP):

  • 50 parts spanning the full range (include parts near the accept/reject boundary)
  • 3 appraisers × 3 trials per part = 450 measurements
  • Calculate % agreement (within appraiser and between appraisers)
  • Calculate kappa statistic (Cohen's kappa ≥ 0.9 is acceptable)

Short method (minimum acceptable):

  • 20 parts × 2 appraisers × 2 trials
  • 90% agreement within and between appraisers required
  • Include borderline parts near the specification limit
Step 5 — Audit an existing MSA study

When reviewing a supplier's or internal MSA, check:

  • Parts selected represent the full process variation range (not all near nominal)
  • Minimum 10 parts, 2 appraisers, 2 trials confirmed
  • Appraisers did not see each other's or their own previous results
  • %GRR result stated clearly (tolerance method or study variation method — which one?)
  • ndc ≥ 5 for all special characteristics
  • EV vs. AV breakdown analysed and interpreted
  • %GRR < 30% (conditional: <10% preferred)
  • For attribute gauges: kappa statistic calculated
  • Study performed in production conditions (not in metrology lab if production measurement is on the line)
  • Gauge calibration certificate current at time of study

Validation criteria

An MSA study is acceptable for PPAP when:

  • %GRR < 30% (tolerance method) — <10% preferred
  • ndc ≥ 5
  • Study conducted with production appraisers using production gauges in production conditions
  • Parts selected from the full process variation range
  • Results documented with part numbers, appraiser IDs, gauge ID, and calibration reference

Common mistakes

  • Parts selected near the nominal value only — artificially inflates ndc and understates GRR
  • Appraiser A re-measures all parts immediately — not the same as separate trials (must separate in time)
  • Using metrology lab gauges for an MSA of a production line gauge — study must use the same gauge in the same conditions
  • %GRR > 30% submitted in PPAP without explanation or customer waiver
  • Gauge calibration expired at time of MSA study — study is invalid
  • ndc < 5 on a special characteristic — automatic PPAP finding in IATF audits
  • Attribute MSA with only 2 appraisers and no borderline parts — study has no discriminating power

Output Format

At the start of each use, ask the user:

"How would you like to receive the output? A — Structured Markdown (formatted tables and sections, ready to copy) B — Plain tables (simplified structure for Excel or Word) C — Narrative report (flowing text for a formal document or email)

Default: A."

Adapt all output sections to the chosen format. If the platform or session context already defines a format preference, skip this question.

Changelog

VersionDateAuthorChange
1.02026-06-06@RBraga01Initial release
1.12026-06-06@migmccAdded improvement guidance for %GRR > 30% — root cause table for high EV and high AV with corrective actions

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/RBraga01/Quality-Engineering-Skills/skills/measurement/msa-gauge-rr of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/gauge-rr-study-guide.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

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Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
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Categories

Questions about Msa Gauge Rr

What does Msa Gauge Rr do?

Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems. Msa Gauge Rr is an agent skill from hashgraph-online/awesome-codex-plugins. Measurement System Analysis (MSA) and Gauge Repeatability & Reproducibility (Gauge R&R) — plan, execute, and interpret an MSA study for variable or attribute measurement systems.

When should I use Msa Gauge Rr?

Msa Gauge Rr fits situations like: qualifying a gauge for a new part; validating a measurement system before PPAP; interpreting Gauge R&R results; auditing MSA studies for adequacy.

How do I install Msa Gauge Rr in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill msa-gauge-rr -a claude-code`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/measurement/msa-gauge-rr in hashgraph-online/awesome-codex-plugins) into .claude/skills/msa-gauge-rr in your project. Claude Code loads it when a task matches its description.

How do I install Msa Gauge Rr in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill msa-gauge-rr -a codex`. Or copy the skill folder (plugins/RBraga01/Quality-Engineering-Skills/skills/measurement/msa-gauge-rr in hashgraph-online/awesome-codex-plugins) into .agents/skills/msa-gauge-rr in your project. Codex loads it when a task matches its description.

Can I use Msa Gauge Rr in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill msa-gauge-rr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/msa-gauge-rr, .gemini/skills/msa-gauge-rr, .github/skills/msa-gauge-rr and .opencode/skills/msa-gauge-rr in your project.

What does Msa Gauge Rr need to run?

SKILL.md names no scripts, command-line tools or credentials: Msa Gauge Rr is instructions for the agent only.

Does Msa Gauge Rr access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Msa Gauge Rr safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Msa Gauge Rr use?

Msa Gauge Rr is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Msa Gauge Rr use?

About 2.5k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Msa Gauge Rr?

Skills that share tags, products or a category with Msa Gauge Rr: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Msa Gauge Rr?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.