nist-stat-handbook SKILL.md skillA
nist-stat-handbook from jgsystemsconsulting/jgs-se-knowledge-packs is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nist-stat-handbook@git:20260626.6ede444Pins git:20260626.6ede444 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jgsystemsconsulting/jgs-se-knowledge-packs
- Path
packs/nist-stat-handbook/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260626.6ede444, committed Jun 26, 2026
- First version recorded
- Jun 24, 2026
- Size
- 18,523 bytes
- Repository stars
- 71
- License
- a license file GitHub does not identify
Knowledge base from the NIST/SEMATECH e-Handbook of Statistical Methods (NIST HB 151) — the practical statistics reference for engineering, metrology, and quality. Use for: exploratory data analysis and the four univariate assumptions (4-plot); measurement process characterization including bias/precision, calibration designs, gauge R&R, and ISO/GUM uncertainty budgets; production process characterization (stability vs. capability); process modeling and regression (LS/WLS/NLS/LOESS); design of…
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
<!-- argument-hint: [statistical task: EDA/4-plot, uncertainty/GUM, calibration, gauge R&R, DOE/screening/response-surface, control chart, hypothesis test/ANOVA, reliability/Weibull/acceleration, capability, chapter number] --> # NIST/SEMATECH e-Handbook of Statistical Methods (NIST HB 151) **Source**: NIST/SEMATECH (US Government work, public domain) | **Chapters**: 8 ## When to use Use this skill when you need applied frequentist statistics for engineering, metrology, or quality work, drawing from the NIST/SEMATECH e-Handbook of Statistical Methods (NIST HB 151). It is the right pack for exploratory data analysis and the four univariate assumptions (4-plot), measurement process characterization including bias/precision, calibration designs, gauge R&R, and ISO/GUM uncertainty budgets, production process characterization covering stability vs. capability, process modeling and regression (LS/WLS/NLS/LOESS), design of experiments (screening, fractional/factorial, response-surface, Taguchi), statistical process control (Shewhart/CUSUM/EWMA charts, capability indices, acceptance sampling), product/process comparisons (hypothesis tests and confidence intervals for one, two, or more… …
Read the whole file at its exact version.
How to install
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nist-stat-handbook@sha256:77144f7cb5a8b586The line at the top of this page pins the label git:20260626.6ede444, 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.
[](https://markdownregistry.com/a/art_2iduvfyls6e7bmrm)
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Versions
The registry has recorded 2 versions of this file, between Jun 24, 2026 and Jun 26, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260626.6ede444 latest | 2026-06-26 | 6ede444 | 18,523 B | A | view · diff |
| git:20260624.1e48b48 | 2026-06-24 | 1e48b48 | 17,467 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18523 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
jgsystemsconsulting/jgs-se-knowledge-packs · 71 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2iduvfyls6e7bmrm GET https://markdownregistry.com/api/v1/resolve?ref=jgsystemsconsulting/jgs-se-knowledge-packs/nist-stat-handbook GET https://markdownregistry.com/api/v1/blob/77144f7cb5a8b586bb7615eae2d7f08a97e67b4683a4243e7223125037adb116
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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.