enterprise-hypermodel-assistant

enterprise-hypermodel-assistant is a skill for Claude Code from rudrathegreat/Astronomy-AI-Toolkit. It costs 22 tokens per session (421 once invoked), scanned A, original, no licence file.

A tool for configuring and troubleshooting Enterprise hypermodels, which compare multiple statistical models within one Bayesian analysis. It also covers trans-dimensional sampling, where the analysis can move between models with different numbers of parameters.

In plain words
What is it for?
Use it to configure Enterprise hypermodels, investigate errors, and support Bayesian model selection and trans-dimensional sampling.
Why use it?
It helps address setup and debugging problems when comparing models or allowing model complexity to change during sampling.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the astronomy-ai-toolkit plugin — 30 skills, 6 agents, 4 MCP servers shipped together

Good fit Use it to configure Enterprise hypermodels, investigate errors, and support Bayesian model selection and trans-dimensional sampling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant
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 rudrathegreat/Astronomy-AI-Toolkit --skill hypermodel_assistant
Clone the repo
git clone --depth 1 https://github.com/rudrathegreat/Astronomy-AI-Toolkit

Made for: Claude Code.

Or install astronomy-ai-toolkit, the plugin that ships this one along with the rest of its 30 skills, 6 agents, 4 MCP servers.

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 enterprise-hypermodel-assistant

README.md
[![agentmods](https://agentmods.dev/badge/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant/github.svg)](https://agentmods.dev/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant)
Your own site
<a href="https://agentmods.dev/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant"><img src="https://agentmods.dev/badge/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant/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 enterprise-hypermodel-assistant

Your own site · 80×15
<a href="https://agentmods.dev/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant"><img src="https://agentmods.dev/badge/skills/rudrathegreat/astronomy-ai-toolkit/hypermodel_assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 421 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 unknown 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 $0.00022 $0.00421
Opus 5 $0.00011 $0.00211
Sonnet 5 $0.00004 $0.00084
Haiku 4.5 $0.00002 $0.00042

Measured 8d ago against content hash bacb3b82f837, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

enterprise-hypermodel-assistant 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 8d 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.

skills/inference/enterprise/hypermodel_assistant/SKILL.md · 51 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 8d ago First seen · 51 lines · 22 tokens per session scan A bacb3b82f837

Subscribe to this mod's changes

enterprise-hypermodel-assistant is a skill published in the GitHub repository rudrathegreat/Astronomy-AI-Toolkit (2 stars, last pushed 1mo ago), with no licence file. It adds 22 tokens to every session and 421 once invoked, about $0.0001 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 2026-08-31.

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