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 urban-regenerationgit 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/urban-regeneration)<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/urban-regeneration"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/urban-regeneration/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/urban-regeneration"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/urban-regeneration.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 | $0.00141 | $0.07533 |
| Opus 5 | $0.00071 | $0.03766 |
| Sonnet 5 | $0.00028 | $0.01507 |
| Haiku 4.5 | $0.00014 | $0.00753 |
Grade A, and why
urban-regeneration 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 — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Urban Regeneration Skill
This skill provides a comprehensive framework for planning and delivering urban regeneration projects — from brownfield remediation through heritage-led renewal to large-scale neighborhood revitalization. It draws on Urban Task Force (Rogers Report), English Partnerships / Homes England guidance, ULI regeneration best practice, UN-Habitat participatory upgrading methodology, and lessons from 30+ global regeneration precedents.
Urban regeneration is fundamentally different from greenfield development: it works within existing physical, social, economic, and political contexts that constrain and shape every design decision. This skill addresses those constraints directly.
1. Regeneration Context Classifier
Decision Tree
START: What is the site's current condition?
Vacant / derelict land
| → Is there contamination?
| Yes → BROWNFIELD REMEDIATION pathway (Section 2)
| No → VACANT LAND STRATEGY pathway (Section 3)
|
Underperforming / declining area
| → Is there significant heritage fabric?
| Yes → HERITAGE-LED REGENERATION pathway (Section 4)
| No → NEIGHBORHOOD REVITALIZATION pathway (Section 5)
|
Functioning but underutilized
| → Is the primary asset buildings or land?
| Buildings → ADAPTIVE REUSE pathway (Section 6)
| Land → INFILL / INTENSIFICATION pathway (Section 7)
|
Post-disaster / post-conflict
| → RECOVERY-LED REGENERATION (special considerations, Section 8)
Regeneration Scale Classification
| Scale | Area | Typical Duration | Lead Entity |
|---|---|---|---|
| Single building | < 0.5 ha | 1-3 years | Private developer |
| Site / block | 0.5-5 ha | 3-7 years | Developer / PPP |
| Neighborhood | 5-50 ha | 7-15 years | Public agency / PPP |
| District | 50-200 ha | 10-25 years | Development corporation |
| City-wide program | Multiple sites | 15-30+ years | City government |
2. Brownfield Remediation
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 · 546 lines · 141 tokens per session scan A 28d395eec736
urban-regeneration is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 141 tokens to every session and 7,533 once invoked, about $0.0007 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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