parametric-modeling

parametric-modeling is a skill for Claude Code from Abhinavbwj/Claude-skills-for-Computational-Designers. It costs 29 tokens per session (9,006 once invoked), scanned A, original, MIT.

A reference for parametric modeling, where a design is described through connected inputs and rules so that changing one value updates related geometry automatically.

In plain words
What is it for?
Use it to build associative models, organize design data, define constraints, explore parameter combinations, and work with Grasshopper or Dynamo.
Why use it?
It reduces manual edits when exploring design alternatives or changing dimensions across a model.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the Claude-skills-for-Computational-Designers plugin — 18 skills shipped together

Good fit Use it to build associative models, organize design data, define constraints, explore parameter combinations, and work with Grasshopper or Dynamo.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling
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 Abhinavbwj/Claude-skills-for-Computational-Designers --skill parametric-modeling
Clone the repo
git clone --depth 1 https://github.com/Abhinavbwj/Claude-skills-for-Computational-Designers

Made for: Claude Code.

Or install Claude-skills-for-Computational-Designers, the plugin that ships this one along with the rest of its 18 skills.

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 parametric-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling/github.svg)](https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling)
Your own site
<a href="https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling/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 parametric-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/parametric-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,006 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 $0.00029 $0.09006
Opus 5 $0.00015 $0.04503
Sonnet 5 $0.00006 $0.01801
Haiku 4.5 $0.00003 $0.00901

Measured 12d ago against content hash c691f8766d8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

parametric-modeling 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/parametric-modeling/SKILL.md · 648 lines

How it starts

The opening of the file, as written. The whole thing — 648 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parametric Modeling for AEC Computational Design

This skill provides a complete reference for parametric design methodology as applied to architecture, engineering, and construction. It covers the intellectual framework, data structures, constraint logic, tool-specific taxonomies for Grasshopper and Dynamo, associative geometry patterns, and professional best practices.


1. Parametric Thinking Methodology

1.1 What Makes Design Parametric vs. Static

A static design is a fixed artifact — a single geometric configuration with hard-coded dimensions. Changing one element requires manually adjusting every dependent element. A parametric design is a system of relationships: a directed graph of inputs, transformations, and outputs where modifying any input propagates changes through the entire dependency chain automatically.

The distinction is not merely about sliders. Parametric thinking means encoding design intent rather than design outcome. The designer authors a set of rules that describe a family of possible designs, not a single instance.

Key characteristics of parametric models:

  • Dependency awareness — Every element knows what it depends on and what depends on it.
  • Reversibility — Changes propagate backward and forward through the logic chain without loss of intent.
  • Multiplicity — A single definition produces an infinite set of valid design instances within the parameter space.
  • Traceability — Every output can be traced back through the logic to its originating inputs.

1.2 The Input-Logic-Output Paradigm

Every parametric definition follows a three-stage pipeline:

INPUTS              LOGIC                    OUTPUTS
───────────────     ─────────────────────    ──────────────────
Parameters          Transformations          Geometry
 - Sliders          - Mathematical ops       - Points, Curves
 - Toggles          - Geometric ops          - Surfaces, Solids
 - Points           - Conditional branching  - Meshes
 - Geometry refs    - Data restructuring     - Data (areas, etc.)
 - Data files       - Constraint solving     - Text, Reports
 - User text        - Optimization loops     - Fabrication data

Read the full file on GitHub · 648 lines

Files

What ships with it

3 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. 12d ago First seen · 648 lines · 29 tokens per session scan A c691f8766d8f

Subscribe to this mod's changes

parametric-modeling is a skill published in the GitHub repository Abhinavbwj/Claude-skills-for-Computational-Designers (212 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 9,006 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 2026-08-30.