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 tod-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/tod-design)<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/tod-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/tod-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/tod-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/tod-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 | $0.00094 | $0.08021 |
| Opus 5 | $0.00047 | $0.04011 |
| Sonnet 5 | $0.00019 | $0.01604 |
| Haiku 4.5 | $0.00009 | $0.00802 |
Grade A, and why
tod-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 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 — 590 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transit-Oriented Development (TOD) Design Skill
This skill provides a complete framework for designing transit-oriented developments based on the ITDP TOD Standard v3.0, global best practices from cities like Tokyo, Hong Kong, Copenhagen, Curitiba, and Singapore, and density-distance gradient principles derived from decades of empirical research. It covers the full workflow from transit mode classification through station area planning, density calibration, use mix programming, parking management, and first-last mile connectivity design.
1. TOD Typology Selector
Use the following matrix to determine the baseline design parameters for any TOD project. Start by identifying the transit mode, then adjust using the context modifiers below the table.
Primary Classification by Transit Mode
| Transit Mode | Walk Catchment | Min Density | Typical FAR | Height Range | Character |
|---|---|---|---|---|---|
| Metro / Heavy Rail | 800m | 100 DU/ha | 3.0 - 10.0 | 6 - 40+ stories | Urban center, regional destination, highest intensity mixed-use |
| Light Rail / Tram | 600m | 60 DU/ha | 2.0 - 5.0 | 4 - 12 stories | Urban neighborhood, linear corridor with medium-intensity nodes |
| BRT (Bus Rapid Transit) | 500m | 50 DU/ha | 1.5 - 4.0 | 3 - 8 stories | Boulevard district, corridor-based development |
| Bus (frequent, <10 min headway) | 400m | 30 DU/ha | 1.0 - 2.5 | 2 - 5 stories | Neighborhood center, incremental densification |
| Commuter Rail | 800m | 40 DU/ha | 1.5 - 4.0 | 3 - 8 stories | Town center, park-and-ride transition to walkable core |
| Ferry Terminal | 400m | 50 DU/ha | 2.0 - 5.0 | 3 - 8 stories | Waterfront district, tourism + residential + commercial |
Context Modifiers
Apply these after selecting the primary transit mode to fine-tune parameters:
| Context | Density Modifier | FAR Modifier | Notes |
|---|---|---|---|
| CBD / Central City | +50% | +2.0 to +5.0 | Highest intensity justified by regional accessibility |
| Interchange Station (2+ lines) | +30% | +1.5 to +3.0 | Multi-modal hub attracts higher ridership and demand |
| Terminus / End-of-Line | -20% | -0.5 to -1.0 | Lower accessibility; park-and-ride may be appropriate |
| Suburban / Greenfield | -30% | -0.5 to -1.5 | Lower existing demand; phase density over time |
| Historic / Heritage Area | -20% | -1.0 to -2.0 | Height and massing constraints; character preservation |
| University / Hospital Anchor | +20% | +0.5 to +1.5 | Institutional trip generators increase demand |
| Waterfront / Park Edge | No change | No change | Adjust massing for view corridors and public access |
What ships with it
2 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.
- 12d ago First seen · 590 lines · 94 tokens per session scan A bc61400c0e5e
tod-design is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 94 tokens to every session and 8,021 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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