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Nasa Rm Standard

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jgsystemsconsulting
nasa-rm-standard

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. readiness review gates, the reliability/maintainability/availability vocabulary (Ai vs. Ao, the failure causal chain, risk as a triplet), and the R&M Evidentiary Methods catalogue (FMEA/FMECA, FTA, RBDA, RCM, LORA, plus the space-environment and parts-pedigree analyses). Scoped to NASA spaceflight and support systems and to assurance planning: it is an objectives-and-strategies standard, so it deliberately does NOT prescribe step-by-step analysis procedures (those live in the referenced NASA Preferred Reliability Practices) and is thin on facility R&M, detailed math/derivations, and non-NASA or commercial life cycles.

Overview

Publisherjgsystemsconsulting
Repositoryjgs-se-knowledge-packs
Skill namenasa-rm-standard
Stars
121
Forks
1
Bundled files
10
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jgsystemsconsulting on GitHub. Read the source before you install it.

Installation

Install the Nasa Rm Standard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-rm-standard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs.git /tmp/jgs-se-knowledge-packs
mkdir -p .claude/skills
cp -r /tmp/jgs-se-knowledge-packs/packs/nasa-rm-standard .claude/skills/nasa-rm-standard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nasa Rm Standard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nasa Rm Standard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nasa Rm Standard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Prerequisites: none, plain Markdown; no MCP server, API key, or licence tier needed at runtime.

How to Use This Skill

  • Without arguments — load the core frameworks below for an overview of the objectives-driven R&M framework, the objectives hierarchy, the SMA Plan / Technical Authority governance, and the analysis vocabulary.
  • With a topic — ask about a specific objective or strategy, the SMA Plan and how R&M requirements are established, the milestone vs. readiness review gates, the Ai/Ao availability split, the failure causal chain, or a named analysis (FMEA, FMECA, FTA, RBDA, RCM, LORA, Worst Case Analysis, etc.).
  • With a chapter — ask for ch01 (scope & applicability), ch02 (terminology & definitions), ch03 (R&M required approach: objectives & strategies), ch04 (implementation requirements: planning, evaluation & review), ch05 (objectives hierarchy & scope identification), or ch06 (evidentiary analysis methods).

Prerequisites: none — plain Markdown; no MCP server, API key, or licence tier needed at runtime.

Supporting files: glossary.md, patterns.md, cheatsheet.md.

Core Frameworks & Mental Models

The Objectives-Driven R&M Framework

The defining caveat of this standard is that it specifies objectives and strategies, not processes. It tells programs what R&M outcome to achieve and why, while deliberately leaving most of the how to the implementing team so they can innovate. "Mandatory" here is procedural: a program must (1) use the objectives and strategies in planning, (2) justify how deeply each objective is addressed, scaled to the accepted safety-and-mission-success risk, and (3) demonstrate at review that the objectives are satisfied. If you are searching the standard for a required procedure, you are in the wrong layer — the standard expects you to supply the method and defend the choice.

The R&M Objectives Hierarchy (Appendix A) — the spine

A single Top Objective (sustain required performance across the lifecycle so mission objectives are met) decomposes into four sub-objectives:

  • (a) the system conforms to design intent across interfaces and functions, under both nominal and failed conditions;
  • (b) the system stays functional for the intended life, environment, operating conditions, and usage;
  • (c) the system tolerates faults, failures, and anomalies arising internally or externally;
  • (d) the system reaches reliability and maintainability sufficient to satisfy the availability requirement.

The hierarchy is built from Objective and Strategy blocks used in an alternating fashion — every objective is paired with at least one strategy — supported by Requirement and Context blocks. Two views describe the same structure: a flowchart view (logical shape) and a tabular view with Scope Identification (Appendix B) that adds, per bottom-level strategy, the suggested evidence method and the scope appropriate to each mission class. Evidence and scope hang off the leaves, not the top.

Implementation, Governance & Review Gates (Section 5)

R&M requirements are established inside the SMA Plan required by NPR 7120.5 (addressing Appendix A objectives/strategies and Appendix B tables) — there is no separate freestanding R&M plan. The plan references rather than restates: it points to criteria, requirements, design/process standards, schedules, evidence products, and organizational interfaces in other documents. Governance institutionalizes a doer/concurrer split: the project produces the plan and evidence; the SMA Technical Authority concurs the plan is sufficient before work proceeds, verifies that independent evaluation actually happened, and concurs in the evidence at gates. Two review bars: milestone reviews test adequacy-against-plan, product maturity, standards conformance, and acceptable technical risk; readiness reviews test adequacy and acceptable residual risk. Compliance is demonstrated through products presented as evidence.

The R&M Vocabulary (Section 3) — outcome words vs. method words

The standard front-loads a precise vocabulary. Sort terms into outcome words (reliability, maintainability, availability, dependability, operational readiness, sustainability) and method words (FMEA, FMECA, FTA, RBDA, RCM, LORA). Load-bearing distinctions:

  • Availability is two quantities: Inherent Ai = MTTF / (MTTF + MTTR) (designer-controlled) and Operational Ao = MTBF / (MTBF + MDT) (folds in logistics, spares, ready/admin downtime — the bridge between readiness and supportability). The gap between them is a supportability decision, not a design decision.
  • The failure causal chain: cause → fault → mechanism → mode → failure → effect, with propagation terms describing how problems cross product boundaries.
  • Risk is a triplet: scenario(s), likelihood(s), consequence(s), with uncertainty folded into the last two; managed via risk management, risk reduction, and documented risk acceptance.
  • Criticality and severity are program-defined — the standard leaves those classifications to each program/project.

The Reliability Analysis Toolbox — failure space vs. success space

The named analyses split on two axes. Failure space: FMEA/FMECA (bottom-up, inductive — find failure modes, effects, single-point failures, criticality) and FTA (deductive, top-down from a defined failure top-event). Success space: RBDA (a symbolic-logic model where an unbroken input-to-output path means success). RCM settles the corrective/preventive maintenance mix for a required reliability at minimum cost; LORA decides the repair level (replace/repair/discard). Choose the tool by asking which space the question lives in, then which direction (inductive bottom-up vs. deductive top-down) the question runs.

R&M Evidentiary Methods (Appendix C) — evidence over assertion

R&M objectives must be earned with evidence. Appendix C is a two-table catalogue — Reliability Analysis Methods and Maintainability Analysis Methods — each method described by a five-column descriptor (what is done / why / in what circumstances / when performed / referenced NASA Preferred Reliability Practice). Key mental models: read the row, not the title; the "in what circumstances" column is a cost gate (reserve expensive analyses like Sneak Circuit Analysis for critical hardware; invoke environment-specific analyses — IESD, surface ESD, SEE, micrometeoroid/debris — only when that threat is present); timing is keyed to design maturity (functional FMECA/FTA early, piece-part FMECA and Worst Case Analysis once candidate flight designs exist). The table indexes the method; the referenced practice holds the procedure.


Chapter Index

#SectionKey content
ch01Scope, Applicability & Standard StructureObjectives-vs-processes posture; mandatory engagement / flexible implementation; tailoring to accepted risk; applicability (NASA Centers built-in; contractors/JPL by reference); facility exclusion; order of precedence; NPR 7120.5 as the lone applicable document
ch02R&M Terminology & Core DefinitionsReliability/maintainability/availability triad; Inherent (Ai) vs. Operational (Ao) availability; the failure causal chain; risk as a triplet; criticality/severity; single-point failure, failure tolerance, redundancy; the FMEA/FMECA/FTA/RBDA/RCM/LORA framework set; verification vs. validation
ch03R&M Required Approach: Objectives & StrategiesThe top-level objective and its four sub-objectives; strategies as tailorable minimum expectations; the objectives-driven approach; the two levers (prevention + recovery); availability as the integrating requirement; SMA Plan linkage
ch04Implementation Requirements: Planning, Evaluation & ReviewR&M requirements inside the SMA Plan (NPR 7120.5); plan-by-reference; ten plan dimensions; Appendix B minimum scope; SMA Technical Authority concurrence; resource accountability; milestone vs. readiness review bars; independent evaluation
ch05R&M Objectives Hierarchy & Scope IdentificationFlowchart vs. tabular views; Objective/Strategy/SubObjective/Requirement/Context block types; the alternation rule; Top Objective; evidence and scope on the bottom-level strategies; scope dialed by mission class
ch06Evidentiary Methods: Reliability & Maintainability AnalysisThe two-table evidentiary catalogue; five-column method descriptor; reliability methods (FMEA/FMECA, FTA, modeling, WCA, thermal/stress family, space-environment cluster, parts pedigree); maintainability methods (modeling, maintenance concept/plan, RCM, LSA, testability); NASA Preferred Reliability Practices

Topic Index

  • Objectives-driven framework / objectives vs. processes → ch01, ch03, ch05
  • Applicability / scope / facility exclusion / order of precedence → ch01
  • Tailoring to accepted risk → ch01, ch03
  • NPR 7120.5 / SMA Plan → ch03, ch04
  • Terminology / definitions / acronyms → ch02
  • Availability / Inherent Ai / Operational Ao → ch02
  • Failure causal chain / fault / failure mode / effect → ch02
  • Risk triplet / risk acceptance / criticality / severity → ch02
  • Single point failure / failure tolerance / redundancy → ch02
  • Verification / validation → ch02
  • Top objective / four sub-objectives → ch03, ch05
  • Strategies / minimum expectation → ch03, ch05
  • SMA Technical Authority / concurrence / independent evaluation → ch04
  • Milestone review / readiness review / residual risk → ch04
  • Plan by reference / Appendix B minimum scope → ch04
  • Objectives hierarchy / Objective / Strategy / Requirement / Context blocks → ch05
  • Mission class / scope identification → ch05
  • Evidentiary methods catalogue → ch06
  • FMEA / FMECA → ch02, ch06
  • Fault Tree Analysis (FTA) → ch02, ch06
  • Reliability Block Diagram Analysis (RBDA) → ch02
  • Reliability Centered Maintenance (RCM) → ch02, ch06
  • Level of Repair Analysis (LORA) → ch02
  • Worst Case Analysis (WCA) / thermal / stress → ch06
  • NASA Preferred Reliability Practices → ch06

Supporting Files

  • glossary.md — key R&M terms (availability Ai/Ao, the failure chain, FMEA/FMECA/FTA/RBDA/RCM/LORA, SMA Plan, SMA Technical Authority, objectives/strategies, mission class), alphabetical, with chapter references
  • patterns.md — reusable R&M patterns (justification ledger, plan-by-reference, scope-by-mission-class, doer/concurrer split, failure-space vs. success-space tool choice, gating evidentiary methods, the two availabilities, parts-pedigree chain) with When/How/Trade-offs
  • cheatsheet.md — decision rules, the objectives hierarchy and failure chain in one picture, the governance/review-gate table, the reliability & maintainability method lists, outcome-vs-method words, tells & smells

Scope & Limits

Covers: NASA's objectives-driven R&M approach per NASA-STD-8729.1A (Revision A, 2017-06-13) — the R&M objectives hierarchy (Top Objective + four sub-objectives + tailorable strategies, in flowchart and scope-identification table views); how R&M requirements are established inside the SMA Plan required by NPR 7120.5; the SMA Technical Authority concurrence and independent-evaluation governance; milestone vs. readiness review gates; the reliability/maintainability/availability vocabulary (Ai vs. Ao, the failure causal chain, risk as a triplet, program-defined criticality/severity); and the R&M Evidentiary Methods catalogue (FMEA/FMECA, FTA, RBDA, RCM, LORA, the thermal/stress family, the space-environment cluster, and parts-pedigree controls).

Does not cover in depth: step-by-step analysis procedures — the standard is objectives-and-strategies, so the actual how-to for each method lives in the referenced NASA Preferred Reliability Practices (by number), which are outside this source; detailed reliability mathematics, derivations, and worked numerical examples; facility R&M (explicitly excluded and routed to NPD 8831.1, NPR 8820.2, NPR 8831.2, and the NASA RCM and RCBEA guides), except critical technical facilities tied to Space Flight Systems; program/project management mechanics (those live in NPR 7120.5); and non-NASA, commercial, or non-spaceflight life cycles.

Jurisdiction: US Government work — public domain (17 U.S.C. § 105). Approved for use by NASA Headquarters and Centers; reaches JPL, contractors, grant recipients, and agreement parties only as their instruments specify or reference it. Source version: NASA-STD-8729.1A, Revision A, approved 2017-06-13 (superseding NASA-STD-8729.1).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nasa Rm Standard AI skill do?

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. readiness review gates, the reliability/maintainability/availability vocabulary (Ai vs. Ao, the f...

Why use Nasa Rm Standard on TypingMind?

Because you install it once and use it with any model. Nasa Rm Standard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nasa Rm Standard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-rm-standard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nasa Rm Standard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nasa Rm Standard?

As many as you like. As long as a model supports skills, you can use Nasa Rm Standard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nasa Rm Standard AI skill free?

It is published on GitHub by jgsystemsconsulting. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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