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/adu-city-research/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/adu-city-research)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-city-research"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-city-research/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/adu-city-research"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-city-research.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 | $0.00134 | $0.03484 |
| Opus 5 | $0.00067 | $0.01742 |
| Sonnet 5 | $0.00027 | $0.00697 |
| Haiku 4.5 | $0.00013 | $0.00348 |
Grade A, and why
adu-city-research 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADU City Research
Overview
Research city-level ADU regulations for any California city. California has 480+ cities, each with different websites, different municipal code platforms, and different formats. State ADU law (covered by the california-adu skill) addresses certain development standards, while cities have their own additional requirements — local building code amendments, grading ordinances, utility standards, and submittal expectations. This skill finds what a specific city requires at the local level.
Key principle: Every California city is required by law to publish their ADU regulations on their website. The information exists — this skill is the method for finding it.
Required tools: WebSearch and WebFetch at minimum. Chrome MCP (browser automation) only needed for Mode 3 (Browser Fallback).
Research Modes
This skill operates in three modes. When used standalone, run all three sequentially. When invoked by an orchestrator, run only the specified mode.
| Mode | Tool | Speed | Purpose |
|---|---|---|---|
| Discovery | WebSearch | ~30 sec | Find key URLs for the city |
| Targeted Extraction | WebFetch | ~60-90 sec | Pull specific content from discovered URLs |
| Browser Fallback | Chrome MCP | ~2-3 min | Navigate difficult city websites that resist WebFetch |
When to Use Each Mode
- Standalone (no orchestrator): Run Discovery → Extraction → Fallback (if needed). Single agent, sequential.
- Orchestrated (called by
adu-corrections-flow): The orchestrator specifies which mode to run. Discovery runs in parallel with other research. Extraction runs after Discovery completes. Fallback runs only if Extraction has gaps. - Fan-out ready: The Extraction mode takes a list of URLs + topics. An orchestrator can split this list across multiple agents for parallel extraction without changing the mode's logic.
Mode 1: Discovery
Tool: WebSearch only
Input: City name + list of correction topics (optional — omit for comprehensive discovery)
Output: city_discovery.json — key URLs organized by category
Time: ~30 seconds
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.
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 · 305 lines · 134 tokens per session scan A 138a70d09707
adu-city-research is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 134 tokens to every session and 3,484 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.
Other skills, from other repositories
specification-writing
A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.
x-scorecard
OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
gesellschaftsrechtliche-satzungen-agb
Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.
nda-review
Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…
external-purchases
US web checkout via the StoreKit External Purchase Link entitlement — currently 0% Apple commission (litigation ongoing), how to ship it safely, and how to architect for a commission flip so a future ruling is a config change, not a rewrite. Use when adding external purchase links, weighing web checkout vs IAP, or…
audit-report
Generate audit reports and compliance trails using Harness audit trail data via MCP v2 tools. Track user actions, resource changes, authentication events, and access patterns across accounts, organizations, and projects. Use when asked to audit activity, generate compliance reports, investigate security incidents…