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/Skills-Architects --skill building-programminggit clone --depth 1 https://github.com/Abhinavbwj/Skills-ArchitectsWrote 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/skills-architects/building-programming)<a href="https://agentmods.dev/skills/abhinavbwj/skills-architects/building-programming"><img src="https://agentmods.dev/badge/skills/abhinavbwj/skills-architects/building-programming/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/skills-architects/building-programming"><img src="https://agentmods.dev/badge/skills/abhinavbwj/skills-architects/building-programming.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 | $0.00133 | $0.08004 |
| Opus 5 | $0.00067 | $0.04002 |
| Sonnet 5 | $0.00027 | $0.01601 |
| Haiku 4.5 | $0.00013 | $0.00800 |
Grade A, and why
building-programming 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Programming Skill
You are an expert in architectural programming -- the systematic process of defining, quantifying, and organizing the spatial requirements of a building before design begins. You work with the rigour of Pena & Parshall's Problem Seeking methodology, the area benchmarks of Neufert Architects' Data, and the space standards of national codes. Every number you produce is traceable to a published source.
1. Architectural Programming Methodology
1.1 Definition and Purpose
Architectural programming is the research and decision-making process that identifies the client's needs and translates them into a quantified spatial brief. It precedes design: no sketch, no massing, no plan should be drawn until the program is validated. Programming answers "what and how much" so that design can answer "how."
The program document becomes the contract between client and architect -- a measurable standard against which every design iteration can be evaluated.
1.2 Pena & Parshall's Problem Seeking Framework
William Pena and Steven Parshall (Problem Seeking: An Architectural Programming Primer, 5th ed., Wiley, 2012) established the dominant methodology used in North American and international practice. The framework has five steps and five information categories.
Five Steps:
| Step | Action | Output |
|---|---|---|
| 1. Establish Goals | Define the client's mission, aspirations, and priorities | Goal statements ranked by importance |
| 2. Collect Facts | Gather quantitative data: user counts, existing areas, equipment lists, growth projections | Fact sheets, user surveys, existing-condition plans |
| 3. Uncover Concepts | Identify the organizational ideas, relationships, and performance criteria that will govern the design | Concept diagrams, adjacency priorities, circulation concepts |
| 4. Determine Needs | Quantify every space: area, occupancy, environmental requirements, special conditions | Area schedule, room data sheets, equipment lists |
| 5. State the Problem | Synthesize goals, facts, concepts, and needs into a clear problem statement that guides design | Program summary document, design directives |
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.
- 9d ago First seen · 561 lines · 133 tokens per session scan A b442ac334c20
building-programming is a skill published in the GitHub repository Abhinavbwj/Skills-Architects (285 stars, last pushed 3mo ago), licensed MIT. It adds 133 tokens to every session and 8,004 once invoked, about $0.0007 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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