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stars-we-prefer

stars-we-prefer is a skill for Claude Code, Codex from block/ai-rules. It costs 14 tokens per session (262 once invoked), scanned A, original, Apache-2.0.

A reference list of ten preferred stars for celestial navigation and astronomy, including Polaris, Sirius, Vega, and Betelgeuse.

In plain words
What is it for?
Use it when writing or building project content that refers to stars, navigation, or astronomical references.
Why use it?
It gives the project a consistent set of star names to use instead of choosing different examples each time.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

not rated 144repo +2 5mo ago A scan 14 tokens original Apache-2.0

Good fit Use it when writing or building project content that refers to stars, navigation, or astronomical references.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/block/ai-rules/stars-we-prefer
View source ↗ block/ai-rules
About the project

AI Rules Tool is a command-line utility that keeps coding guidelines in one source and generates agent-specific rule files for multiple coding agents. Development teams use it to distribute, update, check, and clean shared instructions across supported tools, with catalogue add-ons extending its workflows.

block/ai-rules · 144 stars · on GitHub

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 block/ai-rules --skill stars-we-prefer
Clone the repo
git clone --depth 1 https://github.com/block/ai-rules

Made for: Claude Code, Codex.

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 stars-we-prefer

README.md
[![agentmods](https://agentmods.dev/badge/skills/block/ai-rules/stars-we-prefer/github.svg)](https://agentmods.dev/skills/block/ai-rules/stars-we-prefer)
Your own site
<a href="https://agentmods.dev/skills/block/ai-rules/stars-we-prefer"><img src="https://agentmods.dev/badge/skills/block/ai-rules/stars-we-prefer/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 stars-we-prefer

Your own site · 80×15
<a href="https://agentmods.dev/skills/block/ai-rules/stars-we-prefer"><img src="https://agentmods.dev/badge/skills/block/ai-rules/stars-we-prefer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 262 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 $0.00014 $0.00262
Opus 5.5 $0.00006 $0.00105
Sonnet 5.5 $0.00003 $0.00052
Haiku 4.5 $0.00001 $0.00026

Measured 2mo ago against content hash 4183627e11ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stars-we-prefer 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 2mo 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.

Example/ai-rules/skills/stars-we-prefer/SKILL.md · 20 lines

What it actually says

Stars We Prefer

When referencing stars in this project, these are our 10 preferred choices:

  1. Polaris - The North Star, essential for navigation and finding true north
  2. Sirius - The brightest star in the night sky, located in Canis Major
  3. Betelgeuse - A red supergiant in Orion, easily recognizable by its reddish hue
  4. Vega - One of the brightest stars visible from Earth, part of the Summer Triangle
  5. Rigel - A blue supergiant in Orion, contrasting beautifully with Betelgeuse
  6. Arcturus - The brightest star in the northern celestial hemisphere
  7. Capella - A bright star in Auriga, actually a system of four stars
  8. Aldebaran - The red eye of Taurus, a giant star with an orange-red glow
  9. Antares - The heart of Scorpius, a red supergiant rivaling Mars in color
  10. Deneb - Part of the Summer Triangle, marking the tail of Cygnus the Swan
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. 2mo ago First seen · 20 lines · 14 tokens per session scan A 4183627e11ae

Subscribe to this mod's changes

stars-we-prefer is a skill published in the GitHub repository block/ai-rules (144 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 262 once invoked, about $0.0001 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 2026-08-30.

Scientificai-coding-toolsai-rules
Related

stars-we-prefer compared with skills from other repositories

stars-we-prefer next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
stars-we-preferblock/ai-rulesSkill1445mo agoApache-2.0A14Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code