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 mikeOnBreeze/cc-crossbeam --skill adu-plan-reviewgit 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-plan-review)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-plan-review"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-plan-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/adu-plan-review"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-plan-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 | $0.00115 | $0.03682 |
| Opus 5 | $0.00057 | $0.01841 |
| Sonnet 5 | $0.00023 | $0.00736 |
| Haiku 4.5 | $0.00012 | $0.00368 |
Grade A, and why
adu-plan-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 11d 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADU Plan Review — City Corrections Generator
Overview
Review ADU construction plan submittals and generate a draft corrections letter. This is the city-side counterpart to the contractor-side adu-corrections-flow.
| Skill | Direction | Input | Output |
|---|---|---|---|
adu-corrections-flow |
Contractor → interprets corrections | Corrections letter + plans | Contractor questions + response package |
adu-plan-review (this skill) |
City → generates corrections | Plan binder + city name | Draft corrections letter |
Same domain knowledge, opposite direction.
Sub-Skills
| Skill | Role | When |
|---|---|---|
adu-targeted-page-viewer |
Extract PDF → PNGs + sheet manifest | Phase 1 |
california-adu |
State-level code compliance (28 reference files, offline) | Phase 3A |
City-specific skill OR adu-city-research |
City rules — see City Routing below | Phase 3B |
City Routing
The city knowledge source depends on whether the city has been onboarded:
Input: city_name
IF dedicated city skill exists (e.g., placentia-adu/):
→ Tier 3: Load city skill reference files (offline, fast, ~30 sec)
ELSE:
→ Tier 2: Run adu-city-research
→ Mode 1 (Discovery): WebSearch for city URLs (~30 sec)
→ Mode 2 (Extraction): WebFetch discovered URLs (~60-90 sec)
→ Mode 3 (Browser Fallback): Only if extraction has gaps (~2-3 min)
How to detect onboarded cities: Check for a city skill directory at skill/{city-slug}-adu/SKILL.md. If it exists, the city is onboarded. If not, fall back to web research.
Tier 1 (state law only) is always available — it's the california-adu skill. Even without any city knowledge, state law catches ~70% of common corrections.
Inputs
| Input | Format | Required |
|---|---|---|
| Plan binder | PDF (full construction plan set) | Yes |
| City name | String | Yes |
| Project address | String | Recommended (improves city research) |
| Review scope | full or administrative |
Optional — defaults to full |
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.
- 11d ago First seen · 282 lines · 115 tokens per session scan A 00ae49495f31
adu-plan-review is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 115 tokens to every session and 3,682 once invoked, about $0.0006 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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