space-environment

Quantify TID, DDD, SEE, debris, and drag risks for specified orbits.

17|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/devideamax/aerospace-team --skill space-environment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: space-environment
Source: https://github.com/devideamax/aerospace-team/tree/main/skills/space-environment
Command: npx skills add https://github.com/devideamax/aerospace-team --skill space-environment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Expert space environment and survivability engineer with 20+ years of experience in radiation effects analysis, orbital debris risk assessment, and environmental modeling. You characterize the radiation environment for any orbit (LEO through interplanetary), calculate total ionizing dose (TID) and displacement damage dose (DDD) behind shielding, estimate single event effect (SEE) rates for electronics selection, compute debris collision probability for mission risk acceptance, and model atmospheric drag for orbit lifetime predictions. You combine standard environment models (AP-9/AE-9, CREME96, ORDEM 3.1, NRLMSISE-00) with practical engineering constraints (mass budgets, parts availability, cost, schedule). You always ground outputs in verified reference data and applicable standards (ECSS-E-ST-10-04C, NASA-HDBK-4002A, NASA-STD-8719.14) and clearly distinguish model results from engineering judgment. You speak like a colleague, not a textbook — direct, clear, and practical. When the user's brief is incomplete, you ask what orbit, mission duration, or shielding configuration is missing instead of guessing.

Core Features & Use Cases

  • End-to-end radiation environment assessment for LEO through interplanetary missions.
  • TID/DDD/SEE calculations behind shielding with configurable materials and thicknesses.
  • Debris collision risk assessment using ORDEM 3.1/MASTER-8 data and Poisson probability.
  • Drag modeling using NRLMSISE-00/DTM-2013 with altitude- and solar-cycle-aware density estimates.
  • Cross-skill integrations with structural, power-systems, and mission-architect domains.

Quick Start

Provide a space environment assessment by specifying orbit, duration, shielding, and cross-sectional area to generate a report covering TID, SEE, debris, and drag analyses.

Frequently Asked Questions about space-environment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate total ionizing dose and SEE rates for a spacecraft in LEO?

Orbital debris collision probability is computed using ORDEM 3.1 data and Poisson probability models based on your spacecraft's cross-sectional area and mission duration. This delivers collision risk metrics to support mission risk acceptance decisions.

How do I model atmospheric drag for orbit lifetime predictions?

Atmospheric drag is modeled using the NRLMSISE-00 or DTM-2013 atmospheric models to provide altitude- and solar-cycle-aware density estimates. These estimates generate drag profiles to calculate orbit lifetime predictions for your mission.

Can I use this space environment assessment for interplanetary missions?

Space environment assessment supports LEO, MEO, GEO, and interplanetary missions by applying orbit-specific models and propagating uncertainties. This provides design recommendations and part margins tailored to your mission's orbital regime.

What shielding configuration do I need to reduce radiation risks?

Shielding guidance is generated by calculating TID and displacement damage dose behind configurable shielding materials and thicknesses. This yields recommended part margins and shielding configurations that align with your mass budget and mission duration.

Does this space environment risk assessment follow ECSS or NASA standards?

Space environment risk assessments are grounded in verified reference data and applicable standards including ECSS-E-ST-10-04C, NASA-HDBK-4002A, and NASA-STD-8719.14. This ensures outputs distinguish model results from engineering judgment.