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-dob-permitsgit 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-dob-permits)<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/nyc-dob-permits"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-dob-permits/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-dob-permits"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/nyc-dob-permits.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 38 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 44 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 50 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 56 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 95 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 | $0.00044 | $0.01465 |
| Opus 5 | $0.00022 | $0.00732 |
| Sonnet 5 | $0.00009 | $0.00293 |
| Haiku 4.5 | $0.00004 | $0.00146 |
Grade A, and why
nyc-dob-permits scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:nyc-dob-permits — DOB Permit & Filing History
Harness note: use
/as:<skill>on Claude Code and$<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 all DOB permits and job filings for any NYC building across both Legacy BIS and DOB NOW systems. No API key required.
Usage
/as:nyc-dob-permits 120 Broadway, Manhattan
/as:nyc-dob-permits 1000770001 (BBL)
/as:nyc-dob-permits 1001389 (BIN)
Steps 1–2: Parse Input & Resolve BBL/BIN
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), resolve via PLUTO, and resolve BIN via Building Footprints — BIN is required for every query in Step 3.
Step 3: Query DOB Permits & Filings
Dataset IDs and field names are canonical in ../nyc-property-report/socrata-reference.md — on any disagreement, the reference wins.
Query all 4 datasets using BIN. IMPORTANT: Legacy datasets use bin__ (double underscore). DOB NOW datasets use bin.
Legacy Permit Issuance
https://data.cityofnewyork.us/resource/ipu4-2q9a.json?$where=bin__='{BIN}'&$order=issuance_date DESC&$limit=30
Key fields: permit_si_no, job__, job_type, issuance_date, expiration_date, permittee_s_first_name, permittee_s_last_name, owner_s_first_name, owner_s_last_name
Legacy Job Filings
https://data.cityofnewyork.us/resource/ic3t-wcy2.json?$where=bin__='{BIN}'&$order=latest_action_date DESC&$limit=30
Key fields: job__, doc__, job_type, job_status, latest_action_date, applicant_s_first_name, applicant_s_last_name
DOB NOW Approved Permits
https://data.cityofnewyork.us/resource/rbx6-tga4.json?$where=bin='{BIN}'&$order=approved_date DESC&$limit=30
Key fields: job_filing_number, work_permit, permit_status, work_type, approved_date, issued_date, expired_date (this dataset has NO filing_date or job_type — use approved_date / work_type)
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.
- 13d ago First seen · 118 lines · 44 tokens per session scan A 0b597037ad8a
nyc-dob-permits is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 1,465 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.
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