The agent partially fulfilled the task by assembling an understanding of moskopio from README files and live demos, but had to work around a missing main landing page and incomplete documentation. The agent correctly identified what moskopio does (WebGL graphics projects), who it's for (graphics learners), pricing (free/open-source), and differentiation (built from scratch, minimal dependencies), but could not fully explain all projects due to missing README files and had to rely on GitHub repository discovery rather than a purpose-built portfolio site.

• ›The agent retrieved and cited three README files ([10] react-obj, [19] marching-photos, [20] curves-webgl) that contained the core project descriptions, use cases, and design philosophy. These were the only content-bearing fetches that provided substantive information.
• ›The main domain moskopio.github.io returns a 404 error, forcing the agent to discover projects via GitHub profile navigation and web search. No central landing page, index, or structured metadata exists to surface the portfolio as a cohesive offering.
• ›The agent was unable to retrieve README for blood-view ([21] returned 404) and had to note documentation gaps in the final response. This reveals incomplete project documentation and forced the agent to acknowledge uncertainty rather than deliver complete information.
• ›The agent relied heavily on prior knowledge and web search (79% of fetches from previous artifact, 14% from web search) to stitch together a picture; the site itself did not publish an agent-ready summary or central resource. Live demo pages ([11], [16], [17], [18]) contained only minimal boilerplate HTML with no fallback text or metadata.
• ›The README files that were retrieved explicitly stated learning motivations and design constraints (e.g., 'reasons why this project was created'), which the agent used to infer differentiation from alternatives—but the site did not directly compare itself to Three.js, Babylon.js, or other frameworks.