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-sustainabilitygit 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-sustainability)<a href="https://agentmods.dev/skills/abhinavbwj/skills-architects/building-sustainability"><img src="https://agentmods.dev/badge/skills/abhinavbwj/skills-architects/building-sustainability/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-sustainability"><img src="https://agentmods.dev/badge/skills/abhinavbwj/skills-architects/building-sustainability.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 | $0.00079 | $0.10362 |
| Opus 5 | $0.00039 | $0.05181 |
| Sonnet 5 | $0.00016 | $0.02072 |
| Haiku 4.5 | $0.00008 | $0.01036 |
Grade A, and why
building-sustainability 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.
How it starts
The opening of the file, as written. The whole thing — 585 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Sustainability
Section 1: Sustainability Framework Selector
Selecting the right sustainability framework depends on project geography, client goals, market positioning, regulatory context, and budget. The following decision tree guides the selection.
1.1 LEED BD+C v4.1 (US Green Building Council)
Best for: Projects in the United States, Canada, and global markets seeking internationally recognized green certification.
- Certification levels: Certified (40–49 pts), Silver (50–59), Gold (60–79), Platinum (80+) out of 110 points
- Point structure: 9 credit categories with prerequisite requirements and optional credits
- Cost premium: 2–5% for Certified/Silver, 5–10% for Gold, 8–15% for Platinum (varies with baseline design quality)
- Market recognition: Highest global recognition. Over 100,000 projects registered in 180+ countries. LEED certification is a market differentiator for Class A commercial office, institutional, and hospitality sectors. Many US federal and municipal projects mandate LEED Silver or Gold.
- Certification body: GBCI (Green Business Certification Inc.)
- Timeline: Registration → design review → construction review → certification. Typically 12–24 months from registration to certification.
- Architect's influence: Architects directly influence 60–70% of available points through site design, building orientation, envelope performance, daylighting, material selection, and indoor environmental quality.
1.2 BREEAM New Construction (Building Research Establishment)
Best for: Projects in the United Kingdom, Europe, and markets where BRE assessment is established (Gulf states, parts of Asia).
- Certification levels: Pass (≥30%), Good (≥45%), Very Good (≥55%), Excellent (≥70%), Outstanding (≥85%)
- Point structure: 10 categories with mandatory credits and weighted scoring. Category weights vary by building type (e.g., Energy has higher weight in offices than in retail).
- Cost premium: 1–3% for Good, 3–7% for Excellent, 7–15% for Outstanding
- Market recognition: Dominant in the UK where planning authorities increasingly require BREEAM Excellent for major developments. Over 590,000 certificates issued. Strong in Europe, Middle East, and parts of Asia Pacific.
- Certification body: BRE Global
- Architect's influence: Architects influence management process (design stage credits), health & wellbeing, energy, transport, materials, and land use & ecology categories.
What ships with it
2 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 · 585 lines · 79 tokens per session scan A 1a7a895f52a1
building-sustainability is a skill published in the GitHub repository Abhinavbwj/Skills-Architects (285 stars, last pushed 3mo ago), licensed MIT. It adds 79 tokens to every session and 10,362 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…