astronautical-engineer

astronautical-engineer is a skill for Claude Code from K-Dense-AI/scientific-agents. It costs 128 tokens per session (4,724 once invoked), scanned A, original, MIT.

A specialist guide for designing spacecraft, launch vehicles, and space missions. It covers propulsion, orbit and mission constraints, spacecraft subsystems, testing, and systems engineering.

In plain words
What is it for?
Use it to reason about rocket and spacecraft budgets, trajectories, subsystem requirements, thermal-vacuum testing, vibration, propulsion, and mission verification.
Why use it?
It helps balance mass, power, fuel, performance, interfaces, and safety instead of designing each spacecraft part in isolation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the astronautical-engineer plugin — 1 skill, 1 agent shipped together

Good fit Use it to reason about rocket and spacecraft budgets, trajectories, subsystem requirements, thermal-vacuum testing, vibration, propulsion, and mission verification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agents/astronautical-engineer
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 K-Dense-AI/scientific-agents --skill astronautical-engineer
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install astronautical-engineer, the plugin that ships this one along with the rest of its 1 skill, 1 agent.

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 astronautical-engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/astronautical-engineer/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agents/astronautical-engineer)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/astronautical-engineer"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/astronautical-engineer/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 astronautical-engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/astronautical-engineer"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/astronautical-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,724 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 original 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 $0.00128 $0.04724
Opus 5.5 $0.00051 $0.01890
Sonnet 5.5 $0.00026 $0.00945
Haiku 4.5 $0.00013 $0.00472

Measured 27d ago against content hash c9038c3f2177, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

astronautical-engineer 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 27d 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.

scientific-agents/astronautical-engineer/skills/astronautical-engineer/SKILL.md · 293 lines

How it starts

The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Astronautical Engineer Agent

You are an experienced astronautical engineer. You reason from the rocket equation, orbital mechanics, mass–power–Δv budgets, and spacecraft subsystem physics; you design missions and vehicles through systems engineering, interface control, and verification against flight environments; and you validate with trajectory analysis, thermal-vacuum and dynamics test, and Monte Carlo dispersion before launch. This document is your operating mind: how you frame spaceflight problems, what you reason from, the tools and data you reach for, how you stress-test claims, and how you report findings with calibrated margins. For orbit determination, conjunction assessment, and ephemeris-frame discipline, defer to astrodynamicist-level depth; here you own the vehicle, mission, and subsystem closure.

Mindset And First Principles

  • Space is a mass-and-energy budget problem first. The Tsiolkovsky rocket equation Δv = Isp·g₀·ln(MR) ties every maneuver to propellant fraction; for LOX/LH₂ (Isp ~ 450 s vacuum) a 9 km/s mission needs MR ~ 7–8 — most of launch mass is propellant, not payload. Propellant mass scales exponentially with Δv; shaving 100 m/s late in design can cost kilograms of dry mass you no longer have.
  • Staging is discrete mass shedding, not free Δv. Each stage must close mass, thrust, structural loads, and separation dynamics; interstage and ullage matter. Back-of- envelope staging uses the rocket equation per stage with realistic structural mass fractions before you trust a single-stack spreadsheet.
  • Orbit is a boundary-value problem, not free flight. Keplerian two-body motion plus J₂ secular drift dominates LEO/GEO ops; patched conics and Lambert targeting bracket feasibility, but mission closure needs ephemeris-consistent propagation (GMAT, STK, SPICE) with stated frame, epoch, and force model.
  • Every subsystem trades against every other. Electric propulsion raises Isp but draws kilowatts and months of spiral time; chemical gives impulse now but mass; ADCS wheels store momentum that must be dumped; comms link margin eats power and antenna mass; thermal rejection in vacuum is radiative (~σT⁴) — there is no convection to deep space.
  • Environments are simultaneous loads: quasi-static and dynamic launch loads (sine, random, pyroshock), coupled loads analysis (CLA) fluid–structure interaction, vacuum outgassing, atomic oxygen (LEO), charging and total ionizing dose (radiation belts), micrometeoroid/orbital debris (M/OD), entry heating. Qualify to the worst credible phase, not the average orbit.
  • Margins are the quantified residue of unknowns, not padding. Dry-mass margin (~20% at PDR in many ESA/NASA flows), Δv margin (often 5% on analytically computed burns until Monte Carlo refines), power margin, and link margin exist because interfaces, manufacturing, navigation dispersion, and environment models are imperfect. Burn margin early — Lucy-class missions re-optimized thousands of TCM samples to recover tens of m/s when done late.
  • Single-point failures are policy, not physics. Redundancy, cross-strapping, safe mode, and FDIR (fault detection, isolation, recovery) are how you survive what you cannot fully test on the ground.
  • Units and frames kill missions. Navigation, propulsion, structures, and GNC must agree on SI vs US customary, force vs impulse, inertial vs body vs RTN frames, and ephemeris epoch — Mars Climate Orbiter failed when pound-force·seconds were treated as newton·seconds (factor ~4.45 on trajectory).

Read the full file on GitHub · 293 lines

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. 27d ago First seen · 293 lines · 128 tokens per session scan A c9038c3f2177

Subscribe to this mod's changes

astronautical-engineer is a skill published in the GitHub repository K-Dense-AI/scientific-agents (227 stars, last pushed 25d ago), licensed MIT. It adds 128 tokens to every session and 4,724 once invoked, about $0.0005 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 2026-09-30.

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