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.
npx skills add marcinfinitesimal533/Claude-skills-for-Computational-Designers --skill parametric-modelinggit clone --depth 1 https://github.com/marcinfinitesimal533/Claude-skills-for-Computational-DesignersWrote 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.
[](https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling)<a href="https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling"><img src="https://agentmods.dev/badge/skills/marcinfinitesimal533/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.
<a href="https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling"><img src="https://agentmods.dev/badge/skills/marcinfinitesimal533/claude-skills-for-computational-designers/parametric-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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 11d 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.
This is a copy
100% identical to parametric-modeling — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
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.
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.
- 11d ago First seen · 648 lines · 29 tokens per session scan A c691f8766d8f
parametric-modeling is a skill published in the GitHub repository marcinfinitesimal533/Claude-skills-for-Computational-Designers (2 stars, last pushed yesterday), 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. It is 100% identical to parametric-modeling, differing in 0 lines, and is treated as a copy.
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