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-contractor-corrections/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-contractor-corrections)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/demo-contractor-corrections"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/demo-contractor-corrections/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-contractor-corrections"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/demo-contractor-corrections.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 | $0.00107 | $0.02565 |
| Opus 5 | $0.00053 | $0.01282 |
| Sonnet 5 | $0.00021 | $0.00513 |
| Haiku 4.5 | $0.00011 | $0.00257 |
Grade A, and why
demo-contractor-corrections 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demo: Contractor Corrections Flow
Run the contractor-side corrections analysis and response locally. You are helping a contractor understand and respond to a city corrections letter on their ADU permit.
This is a two-phase flow with a pause in the middle. Phase 1 produces questions. You STOP and present them. The user answers. Then Phase 2 generates deliverables.
How to Invoke
The user provides:
- Corrections letter — PNG images or a PDF of the corrections letter (typically 1-3 pages)
- Plan binder — either a PDF path or a directory of pre-extracted PNGs
- (Optional) City name and project address — auto-detected from the corrections letter if not provided
Example invocations:
- "Analyze these corrections for my Placentia ADU project. Corrections:
test-assets/corrections/. Plans:test-assets/01-extract-test/pages-png/" - "Run the contractor flow. Corrections letter:
path/to/corrections-p1.pngandpath/to/corrections-p2.png. Plan binder:path/to/plans.pdf" - "I got corrections back from the city. Here they are: [paths]"
Input Resolution
Corrections letter:
- If PNG files: use directly with vision
- If a directory: find all PNGs in it, sort by name, read each as a page
- If PDF: extract to PNGs first (same as plan binder extraction below)
Plan binder:
- If a directory of PNGs: use directly. Check for pre-existing
sheet-manifest.jsonandtitle-blocks/. - If a PDF: extract with
pdftoppm -png -r 200 "<input.pdf>" "<output-dir>/pages-png/page"
Output Directory
Create demo-output/contractor-<city>-<timestamp>/ in the workspace root. All output files go here.
PHASE 1: Analysis
Step 1.1: Parse Corrections Letter (~30 sec)
Read the corrections letter pages visually. Extract:
- Project info: address, city, jurisdiction number, job description, date, reviewer name
- Each correction item as a structured object:
- Item number (preserve original numbering, including sub-items like 3a, 3b, 3c)
- Original text (exact wording)
- Code references (CRC, CBC, ASCE, CPC, B&P Code, municipal code)
- Plan sheet references (Sheet A1, Detail 2/A3, etc.)
- Review round (1st review outstanding vs. 2nd review new)
- Bold/emphasis flags
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 · 245 lines · 107 tokens per session scan A 89409c4938a9
demo-contractor-corrections is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 107 tokens to every session and 2,565 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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