Borrowing it
Nothing to install: this file belongs to mikeOnBreeze/cc-crossbeam. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mikeOnBreeze/cc-crossbeam/main/.claude/skills/demo-city-review/SKILL.mdgit clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeamWrote 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/mikeonbreeze/cc-crossbeam/demo-city-review)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/demo-city-review"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/demo-city-review/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/mikeonbreeze/cc-crossbeam/demo-city-review"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/demo-city-review.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 | $0.00092 | $0.01831 |
| Opus 5 | $0.00046 | $0.00915 |
| Sonnet 5 | $0.00018 | $0.00366 |
| Haiku 4.5 | $0.00009 | $0.00183 |
Grade A, and why
demo-city-review 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 13d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demo: City Plan Review
Run a city-side ADU plan review locally. You are a city plan checker reviewing an ADU permit submittal for code compliance.
How to Invoke
The user provides:
- Plan binder — either a PDF path or a directory of pre-extracted PNGs
- City name — e.g., "Placentia", "Buena Park", "Long Beach"
- (Optional) Project address
Example invocations:
- "Review this ADU plan set for Placentia:
test-assets/city-flow/mock-session/pages-png/" - "Run city review on
test-assets/01-extract-test/pages-png/for Buena Park" - "Review
path/to/plans.pdffor the City of Long Beach"
Input Resolution
Determine what the user gave you:
If a directory of PNGs (e.g., pages-png/page-01.png, page-02.png, ...):
- Use directly. Skip PDF extraction.
- Check for pre-existing
sheet-manifest.jsonin the same directory or parent. If found, load it and skip manifest building. - Check for pre-existing
title-blocks/directory. If found, use those for manifest building.
If a PDF file:
- Check if
pdftoppmis installed:which pdftoppm - If not:
brew install poppler(macOS) or tell the user to install it - Extract pages: create a
pages-png/directory next to the PDF and run:pdftoppm -png -r 200 "<input.pdf>" "<output-dir>/pages-png/page" - Rename outputs to
page-01.png,page-02.png, etc. (pdftoppm outputspage-01.pngformat already with the prefix)
Output Directory
Create demo-output/city-review-<city>-<timestamp>/ in the workspace root. All output files go here.
Workflow
Phase 1: Sheet Manifest (~30-90 sec)
Follow the adu-targeted-page-viewer skill workflow:
- Read page 1 (cover sheet) visually. Extract the sheet index.
- If page count matches index count, map 1:1 in order.
- If mismatch, read title blocks to resolve (crop bottom-right 20% of each page, or use pre-cropped title blocks if available).
- Write
sheet-manifest.jsonto the output directory.
Phase 2: Sheet-by-Sheet Review (~3-5 min)
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.
- 13d ago First seen · 153 lines · 92 tokens per session scan A 6313a2b58595
demo-city-review is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 92 tokens to every session and 1,831 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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