nasa-systems-modeling SKILL.md skillA
nasa-systems-modeling 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/nasa-systems-modeling@git:20260624.03e82c8Pins git:20260624.03e82c8 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-systems-modeling/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260624.03e82c8, committed Jun 24, 2026
- Size
- 19,086 bytes
- Repository stars
- 60
- License
- a license file GitHub does not identify
Knowledge base from the NASA Systems Modeling Handbook for Systems Engineering (NASA-HDBK-1009A Rev A, 2025). Use for model-based systems engineering (MBSE) wired into NASA's NPR 7123.1 SE processes: the three aspects of MBSE (language / methodology / framework), the NASA SE Engine and its two OOSEM-derived steps (Model Planning, Setting Up the Model), the Modeling Plan as a SEMP subset, the tool-agnostic NASA SE metamodel of elements and relationships across the four SysML pillars…
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: [MBSE aspect, SE Engine, metamodel, pillar, SysML diagram/table, work product (ConOps/MOE/MOP/TPM/V&V), MBSE Grid, alternative approach, chapter number] --> # NASA Systems Modeling Handbook (NASA-HDBK-1009A Rev A) **Source**: NASA (US Government work, public domain) | **Chapters**: 8 ## When to use Use this skill when you need to do model-based systems engineering *in support of* NASA's mandated SE processes rather than as a parallel diagramming activity: planning a modeling effort, setting up a model's conventions and organization, building a tool-agnostic metamodel that traces back to NPR 7123.1, capturing stakeholders / requirements / structure / behavior / V&V as SysML diagrams and tables, and harvesting those views to generate the standard NASA SE work products (ConOps, MOE, MOP, TPM, V&V) that feed technical reviews. This is the MBSE-method bridge between NASA SE governance (`nasa-npr-7123`, `nasa-se-handbook`) and the SysML/OMG modeling-language landscape (`omg-signpost`). **Prerequisites:** none — plain Markdown; no MCP server, API key, or licence tier needed at runtime. Working knowledge of SysML helps but is not taught here. …
Read the whole file at its exact version.
How to install
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nasa-systems-modeling@sha256:7b25d648900e77a8The line at the top of this page pins the label git:20260624.03e82c8, 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_qpfhmoiiud4u2w6q)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 24, 2026.
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 (19086 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 · 60 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qpfhmoiiud4u2w6q GET https://markdownregistry.com/api/v1/resolve?ref=jgsystemsconsulting/jgs-se-knowledge-packs/nasa-systems-modeling GET https://markdownregistry.com/api/v1/blob/7b25d648900e77a809d6ba834f9b403a7f87f61f945dd5d6333e8b24d8608627
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.