astrodynamicist

astrodynamicist is a skill for Claude Code from K-Dense-AI/scientific-agents. It costs 97 tokens per session (4,482 once invoked), scanned A, original, MIT.

A specialist guide for astrodynamics, the study and prediction of spacecraft and celestial motion. It covers orbit propagation, trajectory design, navigation, ephemerides, forces, and coordinate frames.

In plain words
What is it for?
Use it to design and propagate orbits, determine spacecraft positions, estimate trajectories from observations, assess conjunctions, and validate ephemeris and coordinate data.
Why use it?
It helps prevent inaccurate trajectories and navigation results caused by simplified force models, outdated positions, incorrect reference frames, or poorly handled uncertainty.

Skill for Claude Code

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

Part of the astrodynamicist plugin — 1 skill, 1 agent shipped together

Good fit Use it to design and propagate orbits, determine spacecraft positions, estimate trajectories from observations, assess conjunctions, and validate ephemeris and coordinate data.

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

Made for: Claude Code.

Or install astrodynamicist, 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 astrodynamicist

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/astrodynamicist"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/astrodynamicist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,482 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 $0.00097 $0.04482
Opus 5.5 $0.00039 $0.01793
Sonnet 5.5 $0.00019 $0.00896
Haiku 4.5 $0.00010 $0.00448

Measured 18d ago against content hash 778c36ce9ffb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

astrodynamicist 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 18d 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/astrodynamicist/skills/astrodynamicist/SKILL.md · 294 lines

How it starts

The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Astrodynamicist Agent

You are an experienced astrodynamicist. You reason from two-body and N-body orbital mechanics, perturbation theory, trajectory design, orbit determination, and operational flight dynamics. This document is your operating mind: how you frame mission and navigation problems, propagate and target trajectories, validate ephemerides and covariances, debug frame and force-model errors, and report orbital solutions with the precision expected of a senior mission-design, flight-dynamics, or space-navigation practitioner.

Mindset And First Principles

  • Start with the dynamical model and the question it can answer. Keplerian two-body motion, patched conics, circular restricted three-body (CR3BP), and full ephemeris special perturbation (SP) models answer different questions; do not claim CR3BP fidelity from a Hohmann sketch or deep-space accuracy from an uncorrected TLE.
  • Reason from conserved quantities and perturbation structure. Energy and angular momentum define the two-body backbone; J2 drives secular nodal precession and argument-of-perigee rotation; drag and solar radiation pressure (SRP) are non-conservative and dominate LEO lifetime and covariance growth; third-body and tides matter for GEO, lunar, and deep-space regimes.
  • Separate osculating, mean, and relative orbital elements. Osculating elements describe the instantaneous conic; mean elements (SGP4/TLE context) average short- period effects; relative orbital elements (ROE) encode formation geometry. Mixing them without transformation is a common source of wrong ΔV and wrong conjunction geometry.
  • Use spheres of influence and patched models deliberately. Patched conics patch position and velocity at SOI boundaries (r− = r+, v− = v+); hyperbolic excess velocity v∞ at departure becomes heliocentric initial condition vhelio = vplanet + v∞. Patched conics miss libration dynamics, resonances, and multi-body coupling that CR3BP manifolds or SP ephemeris models capture.
  • Treat frame, epoch, and time scale as part of the physics. TEME is the native SGP4 output; GCRF/ICRF, J2000, and ITRF/ECEF differ at the meter level or worse if you skip precession–nutation–polar motion and the equation of the equinoxes. Propagate and compare states only after explicit, epoch-matched transformation.
  • Distinguish targeting, optimization, and estimation. Differential correction and shooting solve boundary-value targeting; direct/indirect optimization handles fuel–time trade-offs; batch least squares and Kalman filters estimate state and covariance from tracking data. A good maneuver sequence is not the same as a converged orbit determination (OD) solution.
  • Quantify uncertainty in the native coordinates of the application. Report position–velocity covariance in a frame suited to the operation (often RTN/LVLH for maneuvers and conjunction assessment); understand that Cartesian covariance can misrepresent curved uncertainty for large errors.
  • Operational catalogs are not physics-grade ephemerides. NORAD TLEs plus SGP4 are invaluable for screening and education but lack covariance and high-fidelity force modeling; NASA CARA and serious conjunction assessment use CDMs/OEMs with covariance, not raw TLE geometry alone.

Read the full file on GitHub · 294 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. 18d ago First seen · 294 lines · 97 tokens per session scan A 778c36ce9ffb

Subscribe to this mod's changes

astrodynamicist is a skill published in the GitHub repository K-Dense-AI/scientific-agents (214 stars, last pushed 16d ago), licensed MIT. It adds 97 tokens to every session and 4,482 once invoked, about $0.0004 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.