# ITU-T Recommendation Reviewer

A **model-agnostic AI agent skill** that reviews draft **ITU-T Recommendations** (including ITU-T | ISO/IEC common texts, amendments, and corrigenda) for compliance with the official ITU-T drafting rules — before the text goes to TSB or is proposed for consent, determination, or approval.

The skill is written entirely in plain Markdown, so **any large language model or AI agent can use it** — load the files into the model's context, or install them in any agent framework that supports the open [Agent Skills](https://agentskills.io) format (SKILL.md + reference files).

It encodes the drafting and presentation rules from three authoritative sources:

1. **ITU-T Editing Guidelines — Author's guide for drafting ITU-T Recommendations** (06/2023) — the primary rulebook for pure ITU-T texts ([ITU permalink](https://www.itu.int/oth/T0A0F0000040005)) 2. **Rules for presentation of ITU-T | ISO/IEC common text** (09/2014) — overrides the Author's guide for joint ITU-T | ISO/IEC documents 3. **Recommendation ITU-T A.1** (09/2019) — ITU-T working methods ([ITU permalink](https://www.itu.int/rec/T-REC-A.1))

> The ITU source documents themselves are **not** redistributed in this repository. They are © ITU and available free of charge from the links above and the [ITU-T website](https://www.itu.int/en/ITU-T/).

## What it does

Given a draft Recommendation (as .docx, PDF, or pasted text), the skill instructs the model to:

1. **Classify the document type first** — pure ITU-T text, ITU-T | ISO/IEC common text, or amendment/corrigendum — and apply the correct rulebook. 2. **Run a six-pass review**: skeleton & mandatory elements → boilerplate wording → references & citations → definitions & abbreviations → figures/tables/equations/notes → quality checklist & language. 3. **Produce a structured review report** with an overall verdict (READY / MINOR REVISION / MAJOR REVISION), findings graded Critical / Major / Minor, each pinpointed to a clause and c