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 facade-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/facade-computation)<a href="https://agentmods.dev/skills/abhinavbwj/claude-skills-for-computational-designers/facade-computation"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/facade-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/facade-computation"><img src="https://agentmods.dev/badge/skills/abhinavbwj/claude-skills-for-computational-designers/facade-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 | $0.00039 | $0.14178 |
| Opus 5.5 | $0.00016 | $0.05671 |
| Sonnet 5.5 | $0.00008 | $0.02836 |
| Haiku 4.5 | $0.00004 | $0.01418 |
Grade A, and why
facade-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 1mo 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:
- facade-computation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 846 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Facade Computation
1. Computational Facade Design Philosophy
The building facade is not a wrapper. It is the single most consequential architectural element — the mediator between interior environment and exterior climate, the primary determinant of energy consumption, the structural skin that must resist wind, seismic, and thermal loads, and the public expression of a building's identity. Computational facade design treats every square meter of this surface as a field of optimizable variables rather than a repeating module selected from a catalog.
Facade as Environmental Mediator
Every facade simultaneously manages five environmental flows:
| Flow | Inward | Outward |
|---|---|---|
| Solar radiation | Daylight, solar heat gain | Glare, overheating |
| Thermal energy | Heat loss in winter | Heat gain in summer |
| Air | Natural ventilation, infiltration | Exfiltration, stack effect |
| Moisture | Rain penetration, condensation | Vapor diffusion |
| Sound | Exterior noise intrusion | Interior noise escape |
A computationally-driven facade optimizes across all five flows simultaneously, varying panel geometry, material, porosity, and depth point-by-point across the surface based on orientation, local microclimate, interior program, and structural constraints.
Integration of Performance, Structure, and Aesthetics
Traditional practice separates these into different consultancies — the architect draws the pattern, the structural engineer sizes the mullions, the facade consultant specifies the glass, and the energy modeler checks compliance. Computational facade design collapses these into a single parametric model where every design decision is simultaneously evaluated against structural, thermal, daylight, acoustic, and aesthetic criteria. The parametric model is the single source of truth, and downstream deliverables — shop drawings, energy models, structural calculations, panel schedules — are all derived outputs.
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.
- 1mo ago First seen · 846 lines · 39 tokens per session scan A 2355d10a4f16
facade-computation is a skill published in the GitHub repository Abhinavbwj/Claude-skills-for-Computational-Designers (224 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 14,178 once invoked, about $0.0002 per session on Opus 5.5. 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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