moltrouter-protocol

thorthur22/moltrouter

Design, implement, or document Moltrouter Protocol (MRP) for agent-native discovery, capability manifests, negotiation flows, routing graphs, and evidence/provenance. Use when creating MRP specs, adding endpoints or schemas, drafting manifests, or generating curl/npm-style usage examples for agent-to-agent tooling.

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SKILL.md


name: moltrouter-protocol description: "Design, implement, or document Moltrouter Protocol (MRP) for agent-native discovery, capability manifests, negotiation flows, routing graphs, and evidence/provenance. Use when creating MRP specs, adding endpoints or schemas, drafting manifests, or generating curl/npm-style usage examples for agent-to-agent tooling."

Moltrouter Protocol Skill

Follow this workflow to design or extend MRP artifacts for agent-native discovery and routing.

1) Clarify scope and target

  • Identify whether the request is for spec, service implementation, client tooling, or registry.
  • Confirm the transport target (HTTP/2, QUIC, libp2p) and required content types.

2) Use the protocol reference

  • Use the core spec in references/protocol.md for message envelopes, content types, and routing concepts.
  • Use references/schemas.md for capability manifests, offers, and evidence structures.
  • Use references/endpoints.md for discovery and negotiation endpoints plus curl examples.
  • Use references/auth.md, references/payments.md, and references/errors.md for auth, payment intents, and error handling.
  • Use references/jobs.md, references/registry.md, references/task-graph.md, and references/rate-limits.md for async flows, discovery, routing, and quotas.

3) Produce artifacts in a standard format

  • Emit JSON schemas or manifest examples when asked to define a capability.
  • Include negotiation constraints (policy, budget, proof requirements) explicitly.
  • Provide agent-usable CLI examples (curl or npx) when requested.

4) Validate consistency

  • Ensure message types and fields align with the envelope in references/protocol.md.
  • Ensure endpoints link back to the discovery flow and offer/execute lifecycle.

5) Keep outputs agent-native

  • Prefer declarative structures (intent, capabilities, proofs) over prose.
  • Include provenance and evidence fields whenever output represents an execution.