nyc-hpd

nyc-hpd is a skill for Claude Code from AlpacaLabsLLC/skills-for-architects. It costs 62 tokens per session (1,610 once invoked), scanned A, original, MIT.

A lookup tool for New York City residential-building records from HPD, the city agency that handles housing preservation and development. It checks housing-code violations, complaints, and building registration.

In plain words
What is it for?
Use it to review tenant complaints, housing-code violations, and registration status for an NYC residential building.
Why use it?
It gathers housing-related information for an address without manually searching NYC public records. It applies only to residential buildings, not DOB or ECB violations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code; mentions Codex.

Part of the as plugin — 46 skills, 7 agents, 3 hooks shipped together

Good fit Use it to review tenant complaints, housing-code violations, and registration status for an NYC residential building.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alpacalabsllc/skills-for-architects/nyc-hpd
Install

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.

Any agent
npx skills add AlpacaLabsLLC/skills-for-architects --skill nyc-hpd
Clone the repo
git clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architects

Made for: Claude Code.

Or install as, the plugin that ships this one along with the rest of its 46 skills, 7 agents, 3 hooks.

Wrote 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.

agentmods badge for nyc-hpd

README.md
[![agentmods](https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-hpd/github.svg)](https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/nyc-hpd)
Your own site
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/nyc-hpd"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-hpd/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.

agentmods 80×15 button for nyc-hpd

Your own site · 80×15
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/nyc-hpd"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-hpd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,610 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 13
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Data Exfiltration · line 47
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 53
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 62
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 68
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 74
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 107
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01610
Opus 5 $0.00031 $0.00805
Sonnet 5 $0.00012 $0.00322
Haiku 4.5 $0.00006 $0.00161

Measured 12d ago against content hash e8816e95b705, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nyc-hpd 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.

skills/nyc-hpd/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/as:nyc-hpd — HPD Violations, Complaints & Registration

Harness note: use /as:<skill> on Claude Code and $<skill> on Codex. Resolve <skill-root> as the directory containing this loaded SKILL.md and <plugin-root> as the plugin root that contains skills/, and use equivalent native tools when host tool names differ.

Look up HPD (Housing Preservation & Development) violations, complaints, and building registration for NYC residential buildings. Only applies to residential building classes. No API key required.

Usage

/as:nyc-hpd 1055 Bergen Street, Brooklyn
/as:nyc-hpd 3012120065          (BBL)
/as:nyc-hpd 3030348             (BIN)

Steps 1–2: Parse Input & Resolve BBL

Read ../nyc-property-report/pluto-resolution.md (shared by all 7 NYC due-diligence skills) and follow it: parse the input (address, BBL, or BIN — e.g. "1055 Bergen Street, Brooklyn") and resolve via PLUTO. HPD queries key on boro/block/lot, so BIN resolution is only needed when the user's input was a BIN.

Check Building Class

Before querying HPD, check bldgclass from PLUTO. HPD only applies to residential buildings — classes starting with A, B, C, D, R, or S.

If the building class does NOT start with one of those letters, print:

"Building class {X} — HPD records not applicable (non-residential)."

And stop. Do not query HPD APIs.

Step 3: Query HPD Datasets

Dataset IDs and field names are canonical in ../nyc-property-report/socrata-reference.md — on any disagreement, the reference wins.

IMPORTANT: HPD violations/registrations use boroid (not borough). And block/lot are separate fields — not a combined BBL.

HPD Violations

https://data.cityofnewyork.us/resource/wvxf-dwi5.json?$where=boroid='{boro}' AND block='{block}' AND lot='{lot}'&$order=inspectiondate DESC&$limit=50

Key fields: violationid, class (violation class — NOT violationclass), inspectiondate, approveddate, originalcertifybydate, novdescription, currentstatus

Read the full file on GitHub · 131 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 131 lines · 62 tokens per session scan A e8816e95b705

Subscribe to this mod's changes

nyc-hpd is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 8d ago), licensed MIT. It adds 62 tokens to every session and 1,610 once invoked, about $0.0003 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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