nasa-rm-standard SKILL.md skillA

nasa-rm-standard from jgsystemsconsulting/jgs-se-knowledge-packs is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nasa-rm-standard@git:20260626.6ede444

Pins 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/nasa-rm-standard/SKILL.md
Versions recorded
2
Latest version
git:20260626.6ede444, committed Jun 26, 2026
First version recorded
Jun 23, 2026
Size
15,614 bytes
Repository stars
71
License
a license file GitHub does not identify

Knowledge base from NASA-STD-8729.1A — NASA's R&M (Reliability and Maintainability) standard covering spaceflight and support systems (Revision A, 2017-06-13). Use for NASA's objectives-driven R&M framework — the R&M objectives hierarchy (one Top Objective decomposed into four sub-objectives, paired with tailorable strategies), how R&M requirements are established inside the SMA Plan required by NPR 7120.5, the SMA Technical Authority concurrence/independent-evaluation governance, milestone vs.

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: [objective/strategy, SMA Plan, SMA Technical Authority, milestone/readiness review, availability (Ai/Ao), FMEA/FMECA/FTA/RBDA/RCM/LORA, evidentiary method, mission class/scope, failure chain, chapter number] -->

# NASA Reliability & Maintainability Standard (NASA-STD-8729.1A, Rev A, 2017-06-13)
**Source**: NASA — US Government work, public domain | **Chapters**: 6

## When to use
Use this skill when you need to work with NASA's reliability and maintainability requirements for spaceflight and support systems under NASA-STD-8729.1A (Revision A, 2017). It is the right pack when you need to understand the objectives-driven R&M framework: how the Top Objective and its four sub-objectives are established, how R&M requirements are embedded in the SMA Plan required by NPR 7120.5, and how the SMA Technical Authority concurrence and milestone/readiness review gates operate. Reach for it when reasoning about availability (Inherent Ai vs. Operational Ao), the failure causal chain, or selecting an evidentiary analysis method such as FMEA, FMECA, FTA, RBDA, RCM, or LORA for NASA missions.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nasa-rm-standard@sha256:cbcbda2f20cee3fc

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_fi22mau4wpvjtukd.svg)](https://markdownregistry.com/a/art_fi22mau4wpvjtukd)

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

Versions

The registry has recorded 2 versions of this file, between Jun 23, 2026 and Jun 26, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
git:20260626.6ede444 latest2026-06-26 6ede444 15,614 BA view · diff
git:20260623.b69a7192026-06-23 b69a719 14,788 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 (15614 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

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_fi22mau4wpvjtukd
GET https://markdownregistry.com/api/v1/resolve?ref=jgsystemsconsulting/jgs-se-knowledge-packs/nasa-rm-standard
GET https://markdownregistry.com/api/v1/blob/cbcbda2f20cee3fc05bf081448185fcf2db5310475bd3dbc380e3ef305b36ec7

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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