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-calculatorgit 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-calculator)<a href="https://agentmods.dev/skills/abhinavbwj/urban-design-skills-claude/urban-calculator"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/urban-calculator/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-calculator"><img src="https://agentmods.dev/badge/skills/abhinavbwj/urban-design-skills-claude/urban-calculator.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 | $0.00091 | $0.01860 |
| Opus 5 | $0.00046 | $0.00930 |
| Sonnet 5 | $0.00018 | $0.00372 |
| Haiku 4.5 | $0.00009 | $0.00186 |
Grade A, and why
urban-calculator 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Urban Calculator
A suite of Python computational tools for precise urban design metric calculations. Each script is self-contained, accepts inputs via command-line arguments, and outputs both human-readable text and structured JSON.
Available Calculators
| Script | Purpose | Key Inputs | Key Outputs |
|---|---|---|---|
density_calculator.py |
Population and dwelling density | Site area, FAR, unit sizes, efficiency | DU/ha, persons/ha, population |
far_calculator.py |
FAR and GFA optimization | Site area, coverage, floors, uses | FAR, GFA per use, total GFA |
walkability_scorer.py |
Walk Score estimation | Amenity distances, network connectivity | Score 0-100, category |
parking_calculator.py |
Parking requirements | Uses, areas, ratios, reductions | Total spaces, area needed |
green_space_analyzer.py |
Green space adequacy | Population, park areas, distances | Per capita m2, service coverage |
block_optimizer.py |
Block dimension optimization | Target FAR, height, coverage, daylight | Optimal block dimensions |
Usage Instructions
All scripts are located in the scripts/ subdirectory relative to this skill. Run them with Python 3 via the command line. Every script supports a --json flag to output structured JSON instead of formatted text.
Density Calculator
Calculate population and dwelling density for a development site:
python scripts/density_calculator.py --site-area 20000 --far 2.5 --avg-unit-size 85 --efficiency 0.75 --household-size 2.5 --residential-pct 0.7 --streets-pct 0.30
Minimal example (uses defaults for optional parameters):
python scripts/density_calculator.py --site-area 15000 --far 3.0
JSON output:
python scripts/density_calculator.py --site-area 20000 --far 2.5 --json
FAR Calculator
Calculate Floor Area Ratio and Gross Floor Area by use:
python scripts/far_calculator.py --site-area 10000 --coverage 0.6 --floors 4,6,8 --use-split "res:60,com:25,civic:10,open:5"
What ships with it
7 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 · 195 lines · 91 tokens per session scan A c1d9795d2b57
urban-calculator is a skill published in the GitHub repository Abhinavbwj/Urban-Design-Skills-Claude (129 stars, last pushed 6mo ago), licensed MIT. It adds 91 tokens to every session and 1,860 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.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
mapping-to-snomed
Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…