Nasa Std 8719 14

Community

jgsystemsconsulting

nasa-std-8719-14

Knowledge base from NASA-STD-8719.14C (Process for Limiting Orbital Debris). Use for orbital-debris assessment planning, mission-related debris limits, explosion/passivation and collision risk, postmission disposal options, reentry casualty risk, and ODAR/EOMP governance. Covers STD-8719.14C (Approved 2021-11-05) synthesized notes only; does not replace NPR 8715.6 delivery timing, NASA-HDBK-8719.14 environment/modeling depth, or program-specific OSMA waivers.

Overview

Publisher	jgsystemsconsulting
Repository	`jgs-se-knowledge-packs`
Skill name	`nasa-std-8719-14`
Stars	121
Forks	1
Bundled files	11
Links	Skill source Repository Homepage

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.
11 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 Std 8719 14 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-std-8719-14
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-std-8719-14

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-std-8719-14 .claude/skills/nasa-std-8719-14

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nasa Std 8719 14 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 Std 8719 14 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 Std 8719 14 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.

Process for Limiting Orbital Debris (NASA-STD-8719.14C)

Source: NASA-STD-8719.14C (Approved 2021-11-05) (US Government work, public domain) | Chapters: 7

When to use

Reach for this pack when planning or reviewing NASA (or NASA-sponsored) orbital-debris assessments — applicability and NPR 8715.6 framing, assessment overview and tools, debris released in normal operations, explosions/breakups and collisions, postmission disposal of space structures, reentry surviving debris, or ODAR/EOMP content and special-mission classes.

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.
With a topic — ask about ODAR, EOMP, 25-year LEO lifetime, GEO disposal, passivation, DAS/ORSAT, or reentry casualty risk.
With a chapter — ask for ch01 through ch07.

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

Core Frameworks & Mental Models

NPR + standard pair

NPR 8715.6: When assessments and reports are required and delivered.
NASA-STD-8719.14C: Technical shalls and assessment methods for those reports. Handbook 8719.14 is a reference companion — not ingested here.

Six assessment issues (ODAR spine)

Debris released during normal operations.
Explosions and intentional breakups.
On-orbit collisions (large objects + small MMOD that can kill disposal).
Reliable postmission disposal of spacecraft and orbital stages.
Surviving reentry debris / human casualty risk.
Special classes (tethers, smallsats, large constellations, servicing, ADR).

Technical-area template (every §4.x)

Definition → Requirements → Rationale → Methods to assess compliance → NASA mitigation summary.

Disposal preference

Immediate removal (direct reentry or Earth escape) is the preferred 2019 ODMSP option. LEO default is “as short as practicable, ≤25 years.” Storage and long-term reentry are constrained alternatives, not a free graveyard.

Evidence pair

ODAR: design-time compliance case (Initial / PDR / CDR / Final).
EOMP: living operations plan so mission use does not preclude safe passivation and disposal.

Chapter Index

#	Section	Key content
ch01	Scope and Applicability	Purpose, Earth-orbit focus, NPR 8715.6 frame, shall language
ch02	Assessment Overview	Six issues, DAS/ORSAT/ORDEM/MEM, ODAR vs EOMP cadence
ch03	Debris Released in Normal Operations	25-year LEO, 100 object-years, GEO debris band
ch04	Explosions, Breakups, and Collisions	0.001 explosion / large-object collision; passivation; 0.01 small-MMOD
ch05	Postmission Disposal	Reentry, retrieval, storage, long-term reentry; 0.90 reliability
ch06	Reentry Surviving Debris	15 J threshold, 1:10,000 casualty, controlled-reentry geometry
ch07	Special Classes, ODAR, EOMP	ODMSP Objective 5, tethers/smallsats, report formats

Topic Index

25-year LEO lifetime → ch03, ch05
Collisions (large / small MMOD) → ch04
DAS / ORSAT / ORDEM / MEM → ch02, ch06
Disposal → ch05
EOMP → ch02, ch07
Explosions / passivation → ch04
GEO protection zone → ch03, ch05
Maintenance (passivation, EOMP updates) → ch04, ch07
Mission-related debris (MRD) → ch03
NPR 8715.6 / OSMA → ch01, ch07
ODAR → ch02, ch07
Operations (normal-release debris) → ch03
Orbital debris → ch01, ch02
Postmission disposal reliability → ch04, ch05
Reentry casualty / DCA → ch06
Special classes / tethers / CubeSats → ch07

Supporting Files

glossary.md — orbital-debris and assessment terms with chapter references
patterns.md — implementation patterns (When/How/Trade-offs)
cheatsheet.md — requirement numbers, thresholds, tells and smells

Scope & Limits

This pack covers NASA-STD-8719.14C (Approved 2021-11-05), Process for Limiting Orbital Debris, as synthesized reference notes from the official NTSS PDF (77 pages per extraction metadata). It does not ingest NASA-HDBK-8719.14, replace NPR 8715.6 delivery tables or OSMA waiver process, reproduce DAS/ORSAT user manuals, or dump every figure/table. IADC, UN, SPD-3, and 2019 ODMSP are cited as consistency references, not licensed inserts. US Government public domain work. No source-material download link is published.

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 Std 8719 14 AI skill do?

Why use Nasa Std 8719 14 on TypingMind?

Because you install it once and use it with any model. Nasa Std 8719 14 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 Std 8719 14 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-std-8719-14. 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 Std 8719 14?

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 Std 8719 14?

As many as you like. As long as a model supports skills, you can use Nasa Std 8719 14 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nasa Std 8719 14 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Process for Limiting Orbital Debris (NASA-STD-8719.14C)

When to use

How to Use This Skill

Core Frameworks & Mental Models

NPR + standard pair

Six assessment issues (ODAR spine)

Technical-area template (every §4.x)

Disposal preference

Evidence pair

Chapter Index

Topic Index

Supporting Files

Scope & Limits

Bundled files

Frequently asked questions

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