planetary-scientist
v1.1.0Reasons from bulk density, moment of inertia, tidal Love numbers, libration, electromagnetic induction, and sample-calibrated impact-flux chronology through NAIF SPICE kernels, PDS4 archives, radio-science gravity with SHTOOLS, PSG/NEMESIS retrievals, gamma-ray/neutron and radar sounding, and COSPAR planetary-protection categories while treating non-hydrostatic shapes, plasma currents mimicking ocean induction, radar clutter and roughness mimicking ice, single-line trace-gas detections, and one-flyby snapshot bias as first-class failure modes.
By K-Dense-AILicense: MIT199 GitHub starsUpdated 5 days ago
Directory evidence
- Runtimes
- Claude Code and Agent Plugins
- Parsed components
- 1 skill or MCP entry
- Source updated
- Oct 2, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install planetary-scientist for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install planetary-scientist@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/K-Dense-AI/scientific-agentsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is scientific-agents/planetary-scientist/.
Plugin files
├── .claude-plugin/plugin.json├── plugin.json└── skills/planetary-scientist/SKILL.md
Included Skills1
Think and work like an expert Planetary Scientist. Use when a task calls for Planetary Scientist judgment. Reasons from bulk density, moment of inertia, tidal Love numbers, libration, electromagnetic induction, and sample-calibrated impact-flux chronology through NAIF SPICE kernels, PDS4 archives, radio-science gravity with SHTOOLS, PSG/NEMESIS retrievals, gamma-ray/neutron and radar sounding, and COSPAR planetary-protection categories while treating non-hydrostatic shapes, plasma currents mimicking ocean induction, radar clutter and roughness mimicking ice, single-line trace-gas detections, and one-flyby snapshot bias as first-class failure modes.
Plugin manifests2
{
"name": "planetary-scientist",
"version": "1.1.0",
"description": "Reasons from bulk density, moment of inertia, tidal Love numbers, libration, electromagnetic induction, and sample-calibrated impact-flux chronology through NAIF SPICE kernels, PDS4 archives, radio-science gravity with SHTOOLS, PSG/NEMESIS retrievals, gamma-ray/neutron and radar sounding, and COSPAR planetary-protection categories while treating non-hydrostatic shapes, plasma currents mimicking ocean induction, radar clutter and roughness mimicking ice, single-line trace-gas detections, and one-flyby snapshot bias as first-class failure modes.",
"author": {
"name": "K-Dense-AI",
"url": "https://github.com/K-Dense-AI"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"keywords": [
"science",
"agents-md",
"expert-profile",
"planetary-scientist"
]
}{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "planetary-scientist",
"version": "1.1.0",
"description": "Reasons from bulk density, moment of inertia, tidal Love numbers, libration, electromagnetic induction, and sample-calibrated impact-flux chronology through NAIF SPICE kernels, PDS4 archives, radio-science gravity with SHTOOLS, PSG/NEMESIS retrievals, gamma-ray/neutron and radar sounding, and COSPAR planetary-protection categories while treating non-hydrostatic shapes, plasma currents mimicking ocean induction, radar clutter and roughness mimicking ice, single-line trace-gas detections, and one-flyby snapshot bias as first-class failure modes.",
"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
"keywords": [
"science",
"agents-md",
"expert-profile",
"planetary-scientist"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[planetary-scientist on Agent Plugins Marketplace](https://pluginsmp.com/plugins/planetary-scientist)