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 structural-computationgit 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/structural-computation)<a href="https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/structural-computation"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/structural-computation/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/structural-computation"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/structural-computation.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 | $0.00033 | $0.11806 |
| Opus 5 | $0.00016 | $0.05903 |
| Sonnet 5 | $0.00007 | $0.02361 |
| Haiku 4.5 | $0.00003 | $0.01181 |
Grade A, and why
structural-computation 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- structural-computation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 700 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structural Computation
1. Computational Structural Design Philosophy
The Unity of Form and Force
Structure is not an afterthought applied to a completed form. In the computational paradigm, structure is form. The geometry of a building, a bridge, a canopy -- each is a direct expression of the forces acting upon it. When we allow force to generate geometry rather than merely verifying geometry against force, we unlock an entirely different class of architectural expression: one that is simultaneously more efficient, more beautiful, and more materially honest.
This represents a fundamental epistemological shift: from analysis-after-design to analysis-as-design. The former treats structure as a constraint to be checked; the latter treats structure as a generative engine. In computational structural design, the distinction between "architect" and "engineer" dissolves. The designer works directly with force, curvature, material flow, and stress trajectories as primary design media.
Performance-Driven Geometry
Performance-driven geometry emerges when structural performance metrics (stress utilization, deflection, weight, embodied carbon) become the objective functions of a generative process. The designer defines boundary conditions, loads, material palettes, and performance targets. The computation produces geometry. This is not a loss of authorship -- it is an expansion of the design space far beyond what manual intuition can explore.
Key principles of performance-driven geometry:
- Axial action over bending -- Funicular forms carry load through compression or tension, avoiding costly bending. A catenary cable and an inverted catenary arch are the purest examples.
- Curvature as stiffness -- A flat plate is structurally weak; a curved shell resists load through membrane action. Double curvature provides bidirectional stiffness. The egg is the canonical example.
- Material where stress exists -- Topology optimization removes material where stress is absent and concentrates it along principal stress trajectories. The result resembles trabecular bone.
- Hierarchy and redundancy -- Efficient structures distribute load through hierarchical branching (trees, Gothic vaults, diagrid systems) with multiple load paths for robustness.
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 · 700 lines · 33 tokens per session scan A ca38839e0efc
structural-computation is a skill published in the GitHub repository Abhinavbwj/Claude-skills-for-Computational-Designers (212 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 11,806 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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