Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add RBraga01/Quality-Engineering-Skills --skill msa-gauge-rrgit clone --depth 1 https://github.com/RBraga01/Quality-Engineering-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rbraga01/quality-engineering-skills/msa-gauge-rr)<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/msa-gauge-rr"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/msa-gauge-rr/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rbraga01/quality-engineering-skills/msa-gauge-rr"><img src="https://agentmods.dev/badge/skills/rbraga01/quality-engineering-skills/msa-gauge-rr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.02346 |
| Opus 5 | $0.00044 | $0.01173 |
| Sonnet 5 | $0.00018 | $0.00469 |
| Haiku 4.5 | $0.00009 | $0.00235 |
Grade A, and why
msa-gauge-rr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 type | When 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 MSA | Pass/fail, go/no-go, visual inspection — data is not a number |
| Bias study | Accuracy of a single gauge vs. a reference standard |
| Linearity study | Whether gauge accuracy is consistent across its measurement range |
| Stability study | Whether 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
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 221 lines · 88 tokens per session scan A 77dfaa8c0438
msa-gauge-rr is a skill published in the GitHub repository RBraga01/Quality-Engineering-Skills (28 stars, last pushed 2d ago), licensed MIT. It adds 88 tokens to every session and 2,346 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus.
agent-matrix-optimizer
Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer.
reliability-engineering
Use this Skill for reliability engineering: Weibull analysis, fault tree analysis, FMEA, reliability block diagrams, and accelerated life testing.
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.