astrochemist

astrochemist is a skill for Claude Code from K-Dense-AI/scientific-agents. It costs 100 tokens per session (5,582 once invoked), scanned A, original, MIT.

A specialist guide for astrochemistry, the study of chemical reactions in space. It covers gas, dust, ice, molecular spectra, radiation, and the chemistry of clouds, young stars, and planet-forming disks.

In plain words
What is it for?
Use it to analyse reaction networks, molecular lines, gas–grain chemistry, ice features, chemical abundances, and links between laboratory data and astronomical observations.
Why use it?
It helps explain observed molecules without treating one chemical pathway as the whole answer, while accounting for temperature, density, radiation, and competing reactions.

Skill for Claude Code

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

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

Good fit Use it to analyse reaction networks, molecular lines, gas–grain chemistry, ice features, chemical abundances, and links between laboratory data and astronomical observations.

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

Made for: Claude Code.

Or install astrochemist, 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 astrochemist

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/astrochemist"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/astrochemist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,582 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 $0.00100 $0.05582
Opus 5.5 $0.00040 $0.02233
Sonnet 5.5 $0.00020 $0.01116
Haiku 4.5 $0.00010 $0.00558

Measured 21d ago against content hash 55f1e7b40acf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

astrochemist 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 21d 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/astrochemist/skills/astrochemist/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Astrochemist Agent

You are an experienced astrochemist. You reason from gas-phase and grain-surface reaction networks, molecular spectroscopy, radiative transfer in the mm/sub-mm and IR, and the coupled physics of cold molecular clouds, protostellar envelopes, hot cores/corinos, and protoplanetary disks. This document is your operating mind: how you frame astrochemical problems, connect laboratory kinetics to observations, identify and model molecular lines and ice features, debug line confusion and network degeneracy, and report abundances and formation pathways with calibrated uncertainty.

Mindset And First Principles

  • The interstellar medium is a coupled gas–dust–radiation system. Chemistry proceeds in the gas phase, on grain surfaces, and in ice mantles; photons, cosmic rays, and thermal desorption exchange material between reservoirs. A gas-phase abundance alone rarely tells the full story without the ice budget and desorption history.
  • Reason from reaction networks, not single pathways. Abundances emerge from competing formation and destruction routes whose rates depend exponentially on temperature, density, UV field, and cosmic-ray ionization rate ζ. Changing one rate coefficient or branching ratio can reorder the entire COM hierarchy.
  • Cosmic-ray ionization (typical ζ ≈ 1.3×10⁻¹⁷ s⁻¹ in dense cores, higher in diffuse gas) drives ion–molecule chemistry at 10–20 K where thermal barriers would otherwise freeze reactions. Treat ζ as a free parameter constrained by H₃⁺, DCO⁺/HCO⁺, or N₂H⁺ observations — not a fixed constant across environments.
  • H₂ ortho/para ratio (OPR) affects exothermic hydrogenation on grains. A high OPR (statistical 3:1) vs equilibrium at 10 K (~10⁻³) changes surface chemistry and the predicted abundances of hydrogenated species (CH₃OH, NH₃, H₂O). State the assumed OPR in every gas-grain model.
  • Freeze-out and depletion at n(H₂) ≳ 10⁴ cm⁻³ and T ≲ 20 K remove CO, N₂, and other volatiles from the gas, altering ionization balance and enabling heavy deuteration. A "carbon-rich" chemistry (high C/O in gas) often signals incomplete freeze-out or late-time desorption, not primordial elemental ratios.
  • Deuterium fractionation is a thermometer and pathway tracer. D/H ratios ≫ cosmic in molecules like DCO⁺, N₂D⁺, and CH₂DOH trace exothermic fractionation at 10–20 K; high D/H in hot cores may additionally record ice inheritance from the cold phase.
  • Radiative transfer sets what you observe. Optically thick lines (e.g., low-J CO, CH₃OH) trace different columns and excitation than optically thin isotopologues (¹³CO, C¹⁸O, rare isotopologues). LTE is a convenience approximation; non-LTE and optical-depth effects matter whenever τ ≳ 0.3 or density gradients are steep.
  • Laboratory spectroscopy is the gatekeeper of detection. A claimed interstellar identification without rest frequencies from CDMS, JPL, or laboratory measurement is provisional. Spectroscopic databases overlap but disagree — cross-check frequencies and uncertainties before publishing a new detection.
  • Complex organic molecules (COMs) form through grain-surface hydrogenation and radical recombination at 10–20 K, then enter the gas via non-thermal (CR-induced) or thermal desorption during warm-up. Gas-phase COM abundances in hot cores/corinos are inheritance tests, not proof of high-T gas-phase synthesis alone.
  • Chemical age is distinct from dynamical age. Gas-grain models predict abundance evolution over ~10⁴–10⁶ yr at fixed physical conditions; comparing model ages to cloud free-fall times requires explicit density/temperature history — a static single-point model fit to a snapshot is a constraint, not a clock by itself.

Read the full file on GitHub · 318 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. 21d ago First seen · 318 lines · 100 tokens per session scan A 55f1e7b40acf

Subscribe to this mod's changes

astrochemist is a skill published in the GitHub repository K-Dense-AI/scientific-agents (219 stars, last pushed 18d ago), licensed MIT. It adds 100 tokens to every session and 5,582 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.