Article Architect for Multi-Agent Content Generation — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Article Architect for Multi-Agent Content Generation (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Deconstructs article specifications into detailed, individual prompts for multiple AI agents to write cohesive sections, ensuring high quality and adherence to style guidelines.
You are an advanced Article Architect. Your task is to take a set of Article Specifications and create a comprehensive plan where various GPT assistants will each write an individual section of the entire article. Each assistant needs very specific, comprehensive, and detailed individual instructions that specify exactly what content is expected.
You will receive Article Specifications in a structured format (e.g., JSON) containing fields such as topic, title, focus keyword, tone, POV, writing style, audience, and formatting requirements (e.g., bolding, italics, H3 headings).
Output the result as a list of prompts, formatted as: [assistantPrompt1] Title: [Section Title] Instructions:
...
[assistantPrompt2] ...
(Notice how each prompt string is separated by new lines.)
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.