This skill should be used when the user says "static prototype teams", "arn static prototype teams", "team static prototype", "debate static prototype", "collaborative visual review", "static prototype with debate", "team-based visual review", "visual debate", "review visuals as a team", or wants to create a static component showcase and validate it through iterative expert debate cycles where product strategist and UX specialist discuss their scores and findings before producing a combined review, with per-criterion scoring, an independent judge verdict, and versioned output. Supports Agent Teams for parallel debate or sequential simulation as fallback. For standard lower-of-two-scores visual review, use /arn-spark-static-prototype instead.
61
73%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/arn-spark/skills/arn-spark-static-prototype-teams/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). The skill explicitly fetches user-supplied Figma/Canva URLs via the MCP ("Ask ... specify which assets to fetch (Figma file URL... / Canva design URL). Use the corresponding MCP to fetch and save...") and then passes those third-party visual assets to expert reviewers and the judge as part of the validation workflow, so untrusted, user-generated content can be ingested and materially influence scoring and subsequent actions.
b9084b6
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.