physics-rendering-expert

physics-rendering-expert is a skill for Claude Code from curiositech/some_claude_skills. It costs 127 tokens per session (1,387 once invoked), scanned A, original, MIT.

A guide to programming realistic ropes, cables, and chains in real-time simulations. It covers methods such as Position-Based Dynamics, which adjusts positions to keep physical constraints satisfied, and Verlet integration, a way to update motion.

In plain words
What is it for?
Use it to build rope, cable, chain, leash, or climbing-rope simulations; implement constraint solvers; handle particle systems; and detect tangles between multiple ropes.
Why use it?
It helps solve problems such as sagging, collisions, twisting, and tangled ropes without relying on unsuitable spring-based approaches. It also explains rotation mathematics and different constraint-solving strategies.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to build rope, cable, chain, leash, or climbing-rope simulations; implement constraint solvers; handle particle systems; and detect tangles between multiple ropes.

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Install with agentmods
npx agentmods add skills/curiositech/some_claude_skills/physics-rendering-expert
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 curiositech/some_claude_skills --skill physics-rendering-expert
Clone the repo
git clone --depth 1 https://github.com/curiositech/some_claude_skills

Made for: Claude Code.

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 physics-rendering-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/curiositech/some_claude_skills/physics-rendering-expert/github.svg)](https://agentmods.dev/skills/curiositech/some_claude_skills/physics-rendering-expert)
Your own site
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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 physics-rendering-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/physics-rendering-expert"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/physics-rendering-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,387 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00127 $0.01387
Opus 5 $0.00063 $0.00694
Sonnet 5 $0.00025 $0.00277
Haiku 4.5 $0.00013 $0.00139

Measured 5d ago against content hash 6d922e793f16, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

physics-rendering-expert 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.

.claude/skills/physics-rendering-expert/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Physics & Rendering Expert: Rope Dynamics & Constraint Solving

Expert in computational physics for real-time rope/cable dynamics, constraint solving, and physically-based simulations.

When to Use This Skill

Use for:

  • Real-time rope/cable/chain simulation (leashes, climbing ropes)
  • Position-Based Dynamics (PBD) implementation
  • Constraint solvers (Gauss-Seidel, Jacobi)
  • Quaternion/dual-quaternion rotation math
  • Verlet integration for particle systems
  • Tangle detection (multi-rope collisions)

Do NOT use for:

  • Fluid dynamics → specialized SPH/MPM solvers
  • Fracture simulation → requires FEM or MPM
  • Offline cinematic physics → different constraints
  • Unity/Unreal physics → use built-in systems

Expert vs Novice Shibboleths

Topic Novice Expert
Constraint approach Uses spring forces (F=ma) Uses PBD (directly manipulates positions)
Why PBD "Springs work fine" Springs require tiny timesteps; PBD is unconditionally stable
Solver choice "Just iterate until done" Gauss-Seidel for chains, Jacobi for GPU
Iterations 20+ iterations 5-10 is optimal; diminishing returns after
Rotation Uses Euler angles Uses quaternions (no gimbal lock)
Integration Forward Euler Verlet (symplectic, energy-conserving)

Common Anti-Patterns

Force-Based Springs for Stiff Constraints

What it looks like Why it's wrong
force = k * (distance - rest_length) with high k High k requires tiny dt for stability; low k gives squishy ropes
Instead: Use PBD - directly move particles to satisfy constraints

Euler Angles for Rotation

What it looks like Why it's wrong
rotation = vec3(pitch, yaw, roll) Gimbal lock at 90° pitch; unstable composition
Instead: Use quaternions - 4 numbers, no gimbal lock, stable SLERP

Over-Iteration

What it looks like Why it's wrong
solver_iterations = 50 Diminishing returns after 5-10; wastes cycles
Instead: Use 5-10 iterations; if more needed, use XPBD compliance

Read the full file on GitHub · 146 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 146 lines · 127 tokens per session scan A 6d922e793f16

Subscribe to this mod's changes

physics-rendering-expert is a skill published in the GitHub repository curiositech/some_claude_skills (216 stars, last pushed 2d ago), licensed MIT. It adds 127 tokens to every session and 1,387 once invoked, about $0.0006 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.