Academic Promotion Material Review

Problem

This skill targets two recurring failure modes in academic promotion material review: unstable Python runtimes and missing authorization gates that allow a model to keep generating business output without cloud protected instructions. It turns environment checks, authorization, user binding, protected-content retrieval, and failure reporting into one constrained workflow.

How It Works

The skill first silently detects an available Python command. If detection succeeds, it runs scripts/auth.py directly; if it fails, it reports using the required template and can also use a user-provided full path. The protected workflow then proceeds as follows:

• Run auth.py --ensure; only AUTH_OK permits continuation;
• If CREDENTIALS_MISSING or CREDENTIALS_INVALID appears, actively call connect_cloud_service to obtain a JWT, then bind it;
• Re-run the check after binding and fetch cloud protected instructions via protected.py;
• On authorization failure, stop business reasoning and report the stdout signal plus key stderr lines.

Use it only when the Baitong AI platform, WorkBuddy authorization chain, and package _meta.json or manual skill-code are available. It is not a generic text-review tool; without protected instructions, it must not continue from local hints or prior context.