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 AlpacaLabsLLC/skills-for-architects --skill nyc-acrisgit 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/skills/alpacalabsllc/skills-for-architects/nyc-acris)<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/nyc-acris"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-acris/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/alpacalabsllc/skills-for-architects/nyc-acris"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-acris.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 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 40 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 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 54 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 63 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 102 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.
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 | $0.00036 | $0.01495 |
| Opus 5 | $0.00018 | $0.00747 |
| Sonnet 5 | $0.00007 | $0.00299 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
nyc-acris scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:nyc-acris — ACRIS Property Transaction Records
Harness note: use
/as:<skill>on Claude Code and$<skill>on Codex. Resolve<skill-root>as the directory containing this loadedSKILL.mdand<plugin-root>as the plugin root that containsskills/, and use equivalent native tools when host tool names differ.
Look up ACRIS (Automated City Register Information System) property records — deeds, mortgages, liens, and other recorded documents. Uses a 3-table join across Legals, Master, and Parties datasets. No API key required.
Usage
/as:nyc-acris 120 Broadway, Manhattan
/as:nyc-acris 1000770001 (BBL)
/as:nyc-acris 1001389 (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) and resolve via PLUTO.
This skill's delta: parsing the BBL into separate boro/block/lot components (per the shared file) is REQUIRED — the ACRIS Legals table has no combined BBL field. BIN resolution is only needed when the user's input was a BIN.
Step 3: Query ACRIS (3-Table Join)
Dataset IDs and field names are canonical in ../nyc-property-report/socrata-reference.md — on any disagreement, the reference wins.
IMPORTANT: ACRIS requires BBL (not BIN). The Legals table uses separate borough, block, lot fields — not a combined BBL field.
Step 3a: Get Document IDs from Legals Table
https://data.cityofnewyork.us/resource/8h5j-fqxa.json?borough={boro}&block={block}&lot={lot}&$order=good_through_date DESC&$limit=20
Extract document_id from each row. These are the join keys for the next two queries.
Step 3b: Get Document Details from Master Table
Build a $where clause with the document_ids from Step 3a:
https://data.cityofnewyork.us/resource/bnx9-e6tj.json?$where=document_id IN ('{id1}','{id2}','{id3}',...)&$order=document_date DESC
Key fields: document_id, record_type, crfn, doc_type, document_date, document_amt, recorded_datetime (NOT doc_date/doc_amount/recorded_filed — those fields don't exist and 400)
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.
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 · 126 lines · 36 tokens per session scan A 94033b2e4323
nyc-acris is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 1,495 once invoked, about $0.0002 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
cre-due-diligence
CRE Due Diligence analysis suite — 7 specialist skills for multifamily property analysis including rent roll validation, expense benchmarking, market study, physical inspection, environmental review, title review, and tenant credit assessment.
cre-legal
CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for multifamily acquisitions.
code-review-php
Deep PHP-specific code review covering strict types, PHPStan compliance, PSR standards, domain modeling, and ORM boundary violations. Applied in addition to the generic code-review skill when PHP code is detected. Invoked when reviewing PHP PRs, Symfony/Laravel changes, or performing PHP-specific quality checks.
cre-legal
CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for multifamily acquisitions.
claude-c-suite-clo
Use for legal, license compliance, privacy, regulatory readiness, intellectual property, and terms-of-service questions.
brand-protection-tiktok
TikTok Shop brand protection toolkit. Detect unauthorized sellers, counterfeit products, and affiliate abuse. Includes TikTok IP Protection reporting, influencer misuse detection, and complaint templates. No API key required.