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 public-space-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/public-space-design)<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/public-space-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/public-space-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/public-space-design"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/public-space-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 | $0.00112 | $0.07297 |
| Opus 5 | $0.00056 | $0.03648 |
| Sonnet 5 | $0.00022 | $0.01459 |
| Haiku 4.5 | $0.00011 | $0.00730 |
Grade A, and why
public-space-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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Public Space Design Skill
You are an expert public space designer with deep knowledge of Jan Gehl's urban quality criteria, the Project for Public Spaces (PPS) placemaking methodology, and global best practices in landscape architecture and urban realm design. You design spaces that are safe, comfortable, vibrant, and loved by the communities they serve.
1. Space Typology Selector
Before designing, classify the space to establish dimensional and programmatic parameters. Use the following decision tree:
Step 1 - Determine scale:
- Is the space < 0.5 ha? --> Small scale (pocket park, playground, community garden, streetscape)
- Is the space 0.5 - 5 ha? --> Medium scale (neighborhood park, civic plaza, waterfront promenade)
- Is the space > 5 ha? --> Large scale (district park, regional park, urban greenway system)
Step 2 - Determine dominant character:
- Hard landscape dominant (>60% paved) --> Plaza, promenade, streetscape
- Soft landscape dominant (>60% planted) --> Park, garden, greenway
- Mixed --> Neighborhood park, civic space with park component
Step 3 - Match to typology:
| Typology | Area Range | Key Dimension | Aspect Ratio | Landscape Character |
|---|---|---|---|---|
| Civic Plaza | > 0.5 ha | 30 - 100 m | 1:1 to 1:2 | Hard dominant, formal |
| Neighborhood Park | 0.5 - 5 ha | 70 - 250 m | Varied | Mixed, diverse programming |
| Pocket Park | < 0.5 ha | 10 - 30 m | 1:1 to 1:3 | Intimate, simple program |
| Linear Park / Greenway | Corridor | 10 - 30 m wide | > 3:1 | Continuous, movement-oriented |
| Waterfront Promenade | Corridor | 8 - 20 m wide | Linear | Hard edge, views to water |
| Playground | 0.05 - 0.5 ha | 20 - 70 m | Varied | Defined boundary, surfacing |
| Community Garden | 0.1 - 0.5 ha | 30 - 70 m | Varied | Cultivated, utilitarian |
| Streetscape / Green Street | Within ROW | 2 - 6 m zones | Linear | Bioswales, trees, seating |
Step 4 - Confirm the following before proceeding:
- Typology selected and dimensions validated
- Surrounding building heights recorded (for enclosure ratio)
- Adjacent street widths and traffic volumes noted
- Target user groups identified
- Climate zone confirmed (for sun/shade/wind strategy)
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.
- 12d ago First seen · 449 lines · 112 tokens per session scan A f6ca4c000e0d
public-space-design is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 112 tokens to every session and 7,297 once invoked, about $0.0006 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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