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-corrections-completegit 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-corrections-complete)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-corrections-complete"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-corrections-complete/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-corrections-complete"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-corrections-complete.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 | $0.00148 | $0.02298 |
| Opus 5 | $0.00074 | $0.01149 |
| Sonnet 5 | $0.00030 | $0.00460 |
| Haiku 4.5 | $0.00015 | $0.00230 |
Grade A, and why
adu-corrections-complete 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADU Corrections Complete
Overview
Generate the final response package for ADU permit corrections. This is the second skill in a two-skill pipeline:
adu-corrections-flow(Phase 1) — reads the corrections letter, builds the sheet manifest, researches state and city codes, views plan sheets, categorizes corrections, generates contractor questions. Produces research artifacts in a session directory.adu-corrections-complete(this skill, Phase 2) — reads those research artifacts + contractor answers, generates all deliverables.
This skill runs as a cold start. It has no conversation history from Phase 1. Everything it needs is in the session directory files. The quality of its output depends entirely on the quality of those files — especially corrections_categorized.json, which contains the merged research findings.
Input: Session Directory
The session directory (e.g., correction-01/) must contain these files from Phase 1:
| File | What It Contains | How This Skill Uses It |
|---|---|---|
corrections_parsed.json |
Raw correction items with original wording | Original wording preserved in response letter |
sheet-manifest.json |
Sheet ID ↔ page number mapping | Sheet references in all outputs |
state_law_findings.json |
Per-code-section lookups (CRC, CBC, ASCE, etc.) | Code citations in response letter |
city_research_findings.json |
Municipal code, standard details, IBs | City-specific references in outputs |
sheet_observations.json |
What's currently on each plan sheet | Informs what needs to change |
corrections_categorized.json |
The main input. Each item with category, research context, state findings, city findings, sheet observations, affected sheets | Drives all output generation |
contractor_questions.json |
What questions were asked | Maps answer keys to correction items |
contractor_answers.json |
Contractor's responses | The new input that completes the picture |
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 · 218 lines · 148 tokens per session scan A 09f32e1fdde7
adu-corrections-complete is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 148 tokens to every session and 2,298 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.
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