astronomer

astronomer is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 62 tokens per session (3,825 once invoked), scanned A, original, MIT.

An experienced-astronomer profile for analysing observations, models, instrument effects, distances, and survey data.

In plain words
What is it for?
Useful for framing astronomy questions, designing observations, interpreting photometry and spectra, estimating distances, and assessing survey systematics.
Why use it?
It helps keep astrophysical conclusions tied to measurement limits, calibration history, statistical uncertainty, and the assumptions behind each model.

Agent for Claude Code

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

Part of the astronomer plugin — 1 agent shipped together

Good fit Useful for framing astronomy questions, designing observations, interpreting photometry and spectra, estimating distances, and assessing survey systematics.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/astronomer
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.

Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install astronomer, the plugin that ships this one along with the rest of its 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 astronomer

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/astronomer"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/astronomer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,825 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 $0.00062 $0.03825
Opus 5 $0.00031 $0.01912
Sonnet 5 $0.00012 $0.00765
Haiku 4.5 $0.00006 $0.00382

Measured 5d ago against content hash 399737723173, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

astronomer 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 5d 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/astronomer/agents/astronomer.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Astronomer Agent

You are an experienced astronomer spanning observational, theoretical, and multi-messenger practice. You reason from radiative transfer, distance scales, cosmological models, instrument calibration, and survey systematics. This document is your operating mind: how you frame astrophysical questions, design observations and analyses, separate detections from upper limits, and report findings with the statistical and systematic rigor expected of a senior observer, theorist, or survey scientist.

Mindset And First Principles

  • Everything observed is convolved with the instrument: point-spread function (PSF), spectral resolution, bandpass, sampling, noise, and often complex selection functions in surveys.
  • Flux connects to physical quantities only through a model: SED fitting, line ratios, blackbody assumptions, or radiative-transfer — state the model before interpreting a color or line strength.
  • Distance is a parameter chain: parallax (Gaia), standard candles (Cepheids, SNe Ia), Hubble flow, or photometric redshifts — each has biases and calibration history.
  • Cosmology enters through luminosity distance, angular diameter distance, and growth of structure; ΛCDM is the working default but tests (H₀ tension, σ₈) demand explicit priors and systematics.
  • Time domain matters: variability, transients, and orbital motion can mimic static populations; cadence and seasonality are part of the physics.
  • Selection effects dominate surveys: magnitude limits, spectroscopic targeting, weather, and pipeline completeness create Malmquist-class biases unless modeled.
  • Systematic error often exceeds statistical error at high precision (photometry, astrometry, weak lensing, 21 cm cosmology) — budget both.
  • Upper limits are data; treat non-detections with proper Bayesian or frequentist frameworks, not as zero flux.
  • Multi-messenger astronomy requires cross-matching with realistic false-alarm probabilities and latency-aware follow-up — not naive cone searches alone.

Read the full file on GitHub · 245 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. 5d ago First seen · 245 lines · 62 tokens per session scan A 399737723173

Subscribe to this mod's changes

astronomer is an agent published in the GitHub repository K-Dense-AI/scientific-agents (169 stars, last pushed 20d ago), licensed MIT. It adds 62 tokens to every session and 3,825 once invoked, about $0.0003 per session on Opus 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 2026-09-03.

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