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Montara: Skill for Claude Code

.agents/skills/threejs-interaction/SKILL.md

threejs-interaction is a skill for Claude Code, Codex from abhinavshrivastava950/Montara. It costs 44 tokens per session (4,031 once invoked), scanned A, original, AGPL-3.0.

A guide to making Three.js scenes respond to mouse and touch input. It covers detecting which 3D object a user points at, selecting objects, and controlling the camera.

In plain words
What is it for?
Use it for click detection, object selection, camera controls, and other mouse- or touch-driven 3D interactions.
Why use it?
It explains the building blocks needed to turn a rendered 3D scene into an interactive one.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is abhinavshrivastava950/Montara's own configuration. It tells Claude Code and Codex how to work on Montara itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Montara configures →

not rated 22repo 1mo ago A scan 44 tokens AGPL-3.0
View source ↗ abhinavshrivastava950/Montara
Reuse

Borrowing it

Nothing to install: this file belongs to abhinavshrivastava950/Montara. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/abhinavshrivastava950/Montara/main/.agents/skills/threejs-interaction/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/abhinavshrivastava950/Montara

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 threejs-interaction

README.md
[![agentmods](https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/threejs-interaction/github.svg)](https://agentmods.dev/skills/abhinavshrivastava950/montara/threejs-interaction)
Your own site
<a href="https://agentmods.dev/skills/abhinavshrivastava950/montara/threejs-interaction"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/threejs-interaction/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 threejs-interaction

Your own site · 80×15
<a href="https://agentmods.dev/skills/abhinavshrivastava950/montara/threejs-interaction"><img src="https://agentmods.dev/badge/skills/abhinavshrivastava950/montara/threejs-interaction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,031 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 $0.00044 $0.04031
Opus 5.5 $0.00018 $0.01612
Sonnet 5.5 $0.00009 $0.00806
Haiku 4.5 $0.00004 $0.00403

Measured 2mo ago against content hash 1bb23f0388d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

threejs-interaction 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.

.agents/skills/threejs-interaction/SKILL.md · 661 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 2mo ago First seen · 661 lines · 44 tokens per session scan A 1bb23f0388d3

Subscribe to this mod's changes

threejs-interaction is a skill published in the GitHub repository abhinavshrivastava950/Montara (22 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 44 tokens to every session and 4,031 once invoked, about $0.0002 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.

Frontend
Related

threejs-interaction compared with skills from other repositories

threejs-interaction next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
threejs-interactionabhinavshrivastava950/MontaraSkill221mo agoAGPL-3.0A44Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143ktodayMITA103Claude Code