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/Urban-Design-Skills-Claude --skill street-designgit clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-ClaudeWrote 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/urban-design-skills-claude/street-design)<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/street-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/street-design/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/urban-design-skills-claude/street-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/street-design.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 | $0.00107 | $0.07984 |
| Opus 5 | $0.00053 | $0.03992 |
| Sonnet 5 | $0.00021 | $0.01597 |
| Haiku 4.5 | $0.00011 | $0.00798 |
Grade A, and why
street-design 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 — 490 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Street Design Skill
This skill provides comprehensive street design guidance based on NACTO Urban Street Design Guide, Global Designing Cities Initiative (GDCI), AASHTO Green Book, and international best practices. It covers the full workflow from street hierarchy classification through cross-section dimensioning, intersection design, streetscape specification, and traffic calming.
1. Street Hierarchy Classification
Use the following decision tree to classify any street. Start with the Average Daily Traffic (ADT) count, then apply contextual modifiers.
Primary Classification by ADT and Function
Arterial (>15,000 ADT)
- Right-of-Way (ROW): 30-40m
- Lanes: 2-3 per direction (3.0-3.3m each)
- Design speed: 40-50 km/h (urban), 50-60 km/h (suburban)
- Transit: dedicated bus/BRT lanes strongly recommended
- Cycling: protected bike lanes required (physically separated)
- Pedestrian: wide sidewalks 3.6-6.0m, pedestrian refuge islands at crossings
- Median: 3.0-6.0m landscaped or transit median
- Signal spacing: 200-400m typical
- Role: city-wide movement, connects districts, carries transit trunk routes
Collector (3,000-15,000 ADT)
- ROW: 22-30m
- Lanes: 1-2 per direction (3.0-3.3m each)
- Design speed: 30-40 km/h
- Transit: on-street bus stops with boarding islands
- Cycling: protected bike lanes or buffered bike lanes
- Pedestrian: generous sidewalks 2.4-3.6m
- Median: optional, 1.8-3.0m where present
- Role: connects neighborhoods to arterials, local commercial corridors
Local Street (<3,000 ADT)
- ROW: 15-22m
- Lanes: 1 per direction (2.7-3.0m each)
- Design speed: 30 km/h
- Transit: typically no fixed-route transit
- Cycling: shared lane markings (sharrows) or separated bike lanes depending on context
- Pedestrian: standard sidewalks 1.8-2.4m
- Parking: parallel one or both sides
- Role: neighborhood access, residential frontage, low-speed environment
Shared Street / Woonerf (<1,000 ADT)
- ROW: 8-15m
- Lanes: single surface, no lane markings
- Design speed: 10-20 km/h
- Cycling: shared surface, cyclists and pedestrians together
- Pedestrian: priority over vehicles, no curb separation
- Surface: textured paving, bollards, planters as speed controls
- Role: residential living streets, market streets, festival routes
What ships with it
3 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.
- 13d ago First seen · 490 lines · 107 tokens per session scan A ef1469e04b7a
street-design is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 107 tokens to every session and 7,984 once invoked, about $0.0005 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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