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linear.app

F · 20/100 · LLM analysis via cerebras/llama-3.1-8b

Where they stand

Linear.app has a basic foundation but lacks key agent-native infrastructure for seamless adoption.

Two changes to move up a grade

  1. Publish the canonical agents.json declaration to clearly define their agent capabilities.
  2. Implement A2A discovery by adding a .well-known/agent.json file for easy agent discovery.

Risk if they don't act

Failing to adopt agent-native infrastructure may hinder Linear.app's ability to integrate with other agent-native services within the next 6 months.

What they currently ship

llms.txt

What they're missing

agents.json (the canonical declaration).well-known/agent.json (A2A discovery)payment field in agents.json (agent-native economics)MCP endpoint declared in agents.jsonSign the Machine Consciousness Pledge
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Generated by Symbiont semantic validator. LLM commentary is a starting point — the org should verify before acting on it. Tokens used to generate this report are free upstream; the value-add is the rubric and the prompt structure.