nasa-pra

nasa-pra is a skill for Claude Code from jgsystemsconsulting/jgs-se-knowledge-packs. It costs 235 tokens per session (3,417 once invoked), scanned A, original, no licence file.

A reference guide to NASA's Probabilistic Risk Assessment procedures for aerospace and safety-critical systems. Probabilistic risk assessment estimates how likely harmful scenarios are and how serious their outcomes could be using tools such as event trees and fault trees.

In plain words
What is it for?
Use it to model accident scenarios, identify failure combinations, calculate or communicate risk, collect uncertainty data, and review safety risks in aerospace or other safety-critical systems.
Why use it?
It provides a structured method for analyzing system risks and the combinations of failures that can cause them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the jgs-se-knowledge-packs plugin — 83 skills shipped together

Good fit Use it to model accident scenarios, identify failure combinations, calculate or communicate risk, collect uncertainty data, and review safety risks in aerospace or other safety-critical systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jgsystemsconsulting/jgs-se-knowledge-packs --skill nasa-pra
Clone the repo
git clone --depth 1 https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs

Made for: Claude Code.

Or install jgs-se-knowledge-packs, the plugin that ships this one along with the rest of its 83 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for nasa-pra

README.md
[![agentmods](https://agentmods.dev/badge/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra/github.svg)](https://agentmods.dev/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra)
Your own site
<a href="https://agentmods.dev/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra"><img src="https://agentmods.dev/badge/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for nasa-pra

Your own site · 80×15
<a href="https://agentmods.dev/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra"><img src="https://agentmods.dev/badge/skills/jgsystemsconsulting/jgs-se-knowledge-packs/nasa-pra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 235 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00235 $0.03417
Opus 5.5 $0.00094 $0.01367
Sonnet 5.5 $0.00047 $0.00683
Haiku 4.5 $0.00023 $0.00342

Measured 2mo ago against content hash e7d621dcd223, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nasa-pra scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packs/nasa-pra/SKILL.md · 145 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 145 lines · 235 tokens per session scan A e7d621dcd223

Subscribe to this mod's changes

nasa-pra is a skill published in the GitHub repository jgsystemsconsulting/jgs-se-knowledge-packs (54 stars, last pushed 3d ago), with no licence file. It adds 235 tokens to every session and 3,417 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

nasa-pra compared with skills from other repositories

nasa-pra next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
nasa-prajgsystemsconsulting/jgs-se-knowledge-packsSkill543d agononeA235Claude Code
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exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k5d agoMITA83Claude Code
mapping-to-snomedmaziyarpanahi/openmedSkill5.8ktodayApache-2.0A205Claude Code
auditing-subgroup-fairnessmaziyarpanahi/openmedSkill5.8ktodayApache-2.0A148Claude Code
tooluniverse-drug-researchmims-harvard/ToolUniverseSkill1.8ktodayApache-2.0A71Claude Code
evo2-nimNVIDIA/skillsSkill3.9ktodayApache-2.0B68Claude Code