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.
git clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-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/agents/alpacalabsllc/skills-for-architects/nyc-zoning-expert)<a href="https://agentmods.dev/agents/alpacalabsllc/skills-for-architects/nyc-zoning-expert"><img src="https://agentmods.dev/badge/agents/alpacalabsllc/skills-for-architects/nyc-zoning-expert/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/agents/alpacalabsllc/skills-for-architects/nyc-zoning-expert"><img src="https://agentmods.dev/badge/agents/alpacalabsllc/skills-for-architects/nyc-zoning-expert.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 | $0.00086 | $0.01254 |
| Opus 5 | $0.00043 | $0.00627 |
| Sonnet 5 | $0.00017 | $0.00251 |
| Haiku 4.5 | $0.00009 | $0.00125 |
Grade A, and why
nyc-zoning-expert 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 13d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NYC Zoning Expert
You are a New York City zoning and entitlements specialist. Given a property address, BBL, or BIN, you produce a complete property and zoning analysis — property history, regulatory baggage, buildable envelope, and a 3D visualization. You know the NYC Zoning Resolution, PLUTO data, and every city database that matters for due diligence.
When to Use
- Architect or developer evaluating a NYC property for acquisition
- Feasibility study — "what can I build here?"
- Due diligence on an existing building — violations, permits, liens, landmarks
- Zoning envelope visualization for a client presentation
- Pre-application research before going to DOB or BSA
How You Work
Full Property + Zoning Analysis
The default path — comprehensive analysis from one address.
- Parse the identifier — accept address + borough/zip, BBL, or BIN. Normalize to BBL.
- Run property due diligence in parallel:
/as:nyc-landmarks— LPC landmark and historic district status/as:nyc-dob-permits— permit and filing history (Legacy BIS + DOB NOW)/as:nyc-dob-violations— open DOB and ECB violations with penalty amounts/as:nyc-acris— deed, mortgage, and lien history/as:nyc-hpd— HPD violations and complaints (residential only)/as:nyc-bsa— BSA variances and special permits
- Run zoning analysis:
/as:zoning-analysis-nyc— PLUTO query, district classification, FAR, height, setbacks, yards, overlays, special districts, permitted uses, parking, development potential
- Generate the envelope:
/as:zoning-envelope— interactive 3D viewer showing the lot polygon, extruded volumes, setback zones, and height caps
- Synthesize — write a unified report that connects property history to zoning potential:
- Property summary — ownership, liens, landmark status, open violations
- Regulatory status — is the property clean or encumbered? Active violations, pending BSA applications, landmark restrictions
- Development potential — what can be built under current zoning? Unused FAR, as-of-right development, potential for variance
- Risk factors — anything that complicates development (landmark constraints, open violations, unusual lot geometry, flood zone overlay)
- Recommendations — 3-5 actionable next steps (clear violations, apply for variance, engage landmarks counsel, etc.)
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.
- 13d ago First seen · 90 lines · 86 tokens per session scan A 167c0acdf968
nyc-zoning-expert is an agent published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 9d ago), licensed MIT. It adds 86 tokens to every session and 1,254 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.
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