nasa-pra SKILL.md skillA
nasa-pra 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-pra@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/nasa-pra/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260626.6ede444, committed Jun 26, 2026
- First version recorded
- Jun 22, 2026
- Size
- 14,619 bytes
- Repository stars
- 71
- License
- a license file GitHub does not identify
Knowledge base from the NASA Probabilistic Risk Assessment Procedures Guide (NASA/SP-2011-3421, 2nd ed.). Use for quantitative PRA of aerospace and safety-critical systems: the risk triplet and scenario logic stack (MLD, ESD, event trees, fault trees, minimal cut sets), Bayesian data collection and parameter estimation, aleatory/epistemic uncertainty modeling and common-cause failure (Alpha Factor, beta-factor, CCBE), human reliability analysis (THERP, CREAM, NARA, SPAR-H), context-based…
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: [topic, method, or chapter number] --> # NASA PRA Procedures Guide (NASA/SP-2011-3421, 2nd ed.) **Source**: NASA (US Government work, public domain) | **Chapters**: 8 ## When to use Use this skill when you need to conduct or review quantitative Probabilistic Risk Assessment (PRA) of aerospace and safety-critical systems using the NASA PRA Procedures Guide (NASA/SP-2011-3421, 2nd ed.). It covers the risk triplet and scenario logic stack (MLD, ESD, event trees, fault trees, and minimal cut sets), Bayesian data collection and parameter estimation, aleatory and epistemic uncertainty modeling, common-cause failure treatment (Alpha Factor and beta-factor models), human reliability analysis methods (THERP, CREAM, NARA, and SPAR-H), context-based software risk modeling (CSRM), physics-based limit-state and structural models, and uncertainty propagation with importance measures. Use it when building or auditing a NASA-standard PRA model, when selecting HRA methods, or when quantifying launch-abort risk scenarios. For the qualitative RIDM and CRM decision framework, use the nasa-risk pack instead. …
Read the whole file at its exact version.
How to install
mdr add jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra@sha256:e7d621dcd2235481The 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_wlkccrpkgk33skai)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 22, 2026 and Jun 26, 2026, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260626.6ede444 latest | 2026-06-26 | 6ede444 | 14,619 B | A | view · diff |
| git:20260622.234a227 | 2026-06-22 | 234a227 | 13,579 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 (14619 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_wlkccrpkgk33skai GET https://markdownregistry.com/api/v1/resolve?ref=jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra GET https://markdownregistry.com/api/v1/blob/e7d621dcd2235481e263405cf21f2a0459d808dccf67ebbaf39ccc32a679fac8
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.