# Skate (skate.ch): agent-readiness 41/100, grade D

> Rank 829 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T00:30:45.250Z. Page: https://qomvia.com/site/skate-ch  JSON: https://qomvia.com/api/score/skate-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about the website skate.ch that would allow for a detailed independent audit. My knowledge is limited to general domain patterns.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its actual market share or position in the Swiss market for skate-related products",
    "Specific customer demographics and satisfaction levels",
    "Its unique selling propositions or competitive advantages (beyond what it claims)",
    "Operational details, logistics, and supplier relationships",
    "Key financial indicators or business history"
  ],
  "alternatives": [],
  "business": "Cannot determine from own knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 15/24
- Content legibility: 16/26
- Discovery surface: 5/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 0/10
Failing checks:
- [blocker] robots.txt turns AI crawlers away
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No heading hierarchy

## FAQ
Q: Is Skate readable by AI agents?
A: Skate (skate.ch) scores 41 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 6 checks currently block agents outright.

Q: What stops agents from using skate.ch?
A: The heaviest problems are: robots.txt turns AI crawlers away; No llms.txt; The site does not say who it is; No API or feed to read; No heading hierarchy. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Skate agent-readiness score calculated?
A: Qomvia fetches public pages of skate.ch as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 2 days ago, on 28.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/