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 Abhinavbwj/Claude-skills-for-Computational-Designers --skill cd-foundationsgit clone --depth 1 https://github.com/Abhinavbwj/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/abhinavbwj/claude-skills-for-computational-designers/cd-foundations)<a href="https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/cd-foundations"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/cd-foundations/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/abhinavbwj/claude-skills-for-computational-designers/cd-foundations"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/cd-foundations.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 | $0.00031 | $0.08601 |
| Opus 5 | $0.00015 | $0.04300 |
| Sonnet 5 | $0.00006 | $0.01720 |
| Haiku 4.5 | $0.00003 | $0.00860 |
Grade A, and why
cd-foundations 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cd-foundations — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 531 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Computational Design Foundations
This skill auto-activates whenever a computational design context is detected. It provides the foundational knowledge layer, paradigm classification, tool routing, and anti-pattern awareness that underpins every other skill in the Computational Design Skills Plugin.
1. Computational Design Paradigm Overview
Computational design is not a single methodology but a spectrum of interrelated paradigms. Each paradigm carries distinct assumptions about the relationship between the designer, the algorithm, and the artifact. Understanding which paradigm applies to a given problem is the first critical decision in any computational design workflow.
1.1 Parametric Design
Definition: Parametric design establishes explicit relationships between design elements through variable parameters and constraints, enabling the exploration of a continuous design space by adjusting input values. The geometry is not drawn; it is described as a system of dependencies.
Key Characteristics:
- Associative relationships between geometry elements (change one parameter, downstream geometry updates)
- Design intent is encoded as a graph of operations, not a static drawing
- Enables rapid iteration and variant generation from a single model definition
- Parameters can be numeric (dimensions), geometric (reference curves), or categorical (material type)
When to Use: When the design problem has well-defined variables and the goal is to explore a constrained solution space — e.g., facade panel optimization, structural member sizing, massing studies with fixed programmatic requirements, and any scenario where rapid iteration across known parameters is valuable.
1.2 Generative Design
Definition: Generative design delegates part of the design ideation to algorithmic processes that produce novel solutions based on goals, constraints, and evaluation criteria. The designer defines the problem space and fitness criteria; the algorithm proposes solutions the designer may not have conceived.
What ships with it
4 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.
- 12d ago First seen · 531 lines · 31 tokens per session scan A 33cd3c80650f
cd-foundations is a skill published in the GitHub repository Abhinavbwj/Claude-skills-for-Computational-Designers (212 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 8,601 once invoked, about $0.0002 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.
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cd-foundations
Auto-activating foundation layer providing computational design paradigms, key pioneers, tools landscape, core concepts, and skill routing for all AEC computational design tasks.
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