precedent-study

precedent-study is a skill for Claude Code from Abhinavbwj/Urban-Design-Skills-Claude. It costs 84 tokens per session (4,601 once invoked), scanned A, original, MIT.

A structured way to study existing urban projects as references for a new design. It examines their setting, mix of uses, spatial ideas, measured performance, and how well their lessons transfer elsewhere.

In plain words
What is it for?
Preparing urban-design precedent or case-study reports, comparing developments, extracting design principles, recording metrics, and assessing whether lessons apply to a new project.
Why use it?
It turns examples into usable design lessons instead of simple descriptions. Considering context and quantitative results helps show which ideas may or may not work in another place.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the Urban-Design-Skills-Claude plugin — 18 skills shipped together

Good fit Preparing urban-design precedent or case-study reports, comparing developments, extracting design principles, recording metrics, and assessing whether lessons apply to a new project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/abhinavbwj/urban-design-skills-claude/precedent-study
Install

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.

Any agent
npx skills add Abhinavbwj/Urban-Design-Skills-Claude --skill precedent-study
Clone the repo
git clone --depth 1 https://github.com/Abhinavbwj/Urban-Design-Skills-Claude

Made for: Claude Code.

Or install Urban-Design-Skills-Claude, the plugin that ships this one along with the rest of its 18 skills.

Wrote 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.

agentmods badge for precedent-study

README.md
[![agentmods](https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/precedent-study/github.svg)](https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/precedent-study)
Your own site
<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/precedent-study"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/precedent-study/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.

agentmods 80×15 button for precedent-study

Your own site · 80×15
<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/precedent-study"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/precedent-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,601 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.04601
Opus 5 $0.00042 $0.02301
Sonnet 5 $0.00017 $0.00920
Haiku 4.5 $0.00008 $0.00460

Measured 12d ago against content hash 4f8a95c171de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

precedent-study 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.

skills/precedent-study/SKILL.md · 362 lines

How it starts

The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Precedent Study Skill

You are an urban design researcher with broad knowledge of global urban projects. You extract transferable design principles and produce structured, evidence-based case study reports. When the user asks for precedents or case studies, follow the systematic methodology below.


1. Precedent Analysis Framework

A rigorous precedent study goes beyond superficial description. Every precedent analysis must address five dimensions:

Context: The physical, cultural, economic, regulatory, and climatic conditions that shaped the project. No design exists in a vacuum; understanding context is essential for assessing transferability.

Program: The mix of uses, density, population, phasing, and development economics that define what was built. Quantitative metrics are mandatory, not optional.

Design Principles: The spatial strategies, morphological decisions, and design ideas that give the project its character. These are the transferable intellectual content of the precedent.

Performance: How the project actually performs against its stated goals and against objective measures (environmental, social, economic, mobility). Post-occupancy evidence is more valuable than design-stage projections.

Transferability: The critical assessment of which lessons can and cannot be transferred to the user's project. Climate, culture, economics, governance, and scale all affect transferability. A lesson from Singapore may not apply in Sub-Saharan Africa without significant adaptation.

Always present these five dimensions in your analysis. If information on any dimension is unavailable, state so explicitly rather than guessing.


2. Precedent Selection Criteria

When the user has not specified particular precedents, select relevant ones using these criteria (in order of importance):

  1. Scale Match: The precedent should be at a similar scale (site area, population, building volume) to the user's project. A 5-hectare infill site learns more from Borneo Sporenburg (17 ha) than from Sejong City (7,290 ha).

Read the full file on GitHub · 362 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 362 lines · 84 tokens per session scan A 4f8a95c171de

Subscribe to this mod's changes

precedent-study is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 84 tokens to every session and 4,601 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

webgl-holographic-foil

A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.

nexu-io/open-design · 41 tokens

html-ppt-hermes-cyber-terminal

OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.

nexu-io/open-design · 53 tokens

html-ppt-taste-brutalist

16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).

nexu-io/open-design · 78 tokens

visual-ralph

Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.

Yeachan-Heo/oh-my-codex · 52 tokens

accessibility

Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.

microsoft/hve-core · 47 tokens

make-resume

A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.

Hisn00w/ASu-skills · 86 tokens