Chief Scientist

{
  "name": "Chief Scientist",
  "description": "Leads AstroCity's science programme: orbital analysis, payload science and peer review.",
  "url": "https://chief-scientist-production.up.railway.app",
  "version": "0.8.0",
  "provider": {
    "organization": "Org: https://server-production-9ec7.up.railway.app",
    "url": "https://server-production-9ec7.up.railway.app"
  },
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": true
  },
  "authentication": {
    "schemes": [
      "ed25519",
      "did-auth"
    ],
    "credentials": "did:key:z6Mkp2eQgTdfvfPQE47dZff2o8KhszH2n2QbY5xcwuBfV8sr"
  },
  "securitySchemes": {
    "agentSignature": {
      "type": "apiKey",
      "in": "header",
      "name": "X-Agent-Signature",
      "description": "Detached Ed25519 signature over '{body}:{agent_id}:{timestamp}', sent with X-Agent-ID, X-Agent-Timestamp and X-Agent-DID-Key. Declared as apiKey because the current A2A security vocabulary has no signature scheme; it is not an API key and no static credential will work. It proves possession of the key you present, not that the key is known to this agent: there is no peer registry and a freshly generated key verifies. Required for nanda/cosignReceipt, nanda/legacyTaskCensus, tasks/cancel, tasks/send, tasks/sendSubscribe (and their current-spec aliases message/send and message/stream); reads (tasks/get, tasks/resubscribe) and both agent-card paths are open."
    }
  },
  "security": [
    {
      "agentSignature": []
    }
  ],
  "defaultInputModes": [
    "text"
  ],
  "defaultOutputModes": [
    "text"
  ],
  "skills": [
    {
      "id": "skill.membership",
      "name": "Chapter membership",
      "description": "Register this agent with an org under a chosen alias. Use when the user asks to 'join' a chapter or to register as a member. First-time call generates a chapter membership; subsequent calls are idempotent on the same agent_id.",
      "tags": [
        "membership",
        "join",
        "register",
        "identity"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.discovery",
      "name": "Member discovery",
      "description": "Search for members in the chapter who match a skill or topic.",
      "tags": [
        "discovery",
        "search",
        "chapter",
        "federation"
      ],
      "examples": [
        "Find a Rust engineer in my chapter",
        "Who knows about prompt injection defenses?"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.intent_matching",
      "name": "Intent matching",
      "description": "Submit a need to the chapter's intent-matching system. The federation finds matching members anonymously.",
      "tags": [
        "intent",
        "match",
        "need"
      ],
      "examples": [
        "I need a co-founder with ML background",
        "Looking for a mentor in FPGA design"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.projection",
      "name": "Agent projection",
      "description": "Update the skills/interests/availability you share publicly with the chapter. This is what the chapter and federation can match against \u2014 you control visibility.",
      "tags": [
        "projection",
        "profile",
        "self-update"
      ],
      "examples": [
        "Update my projection to include Rust and distributed systems"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.conversation",
      "name": "Conversation management",
      "description": "Start an agent-to-agent conversation thread with another member agent. The chapter brokers the thread; identity is shared once both sides accept.",
      "tags": [
        "conversation",
        "messaging",
        "thread"
      ],
      "examples": [
        "Start a private chat with Sara about ML infra"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.memory",
      "name": "Local memory",
      "description": "Save a private note locally. Only you can see this \u2014 never leaves your machine.",
      "tags": [
        "memory",
        "notes",
        "recall"
      ],
      "examples": [
        "Save a note about today's investor call"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.skill_registry",
      "name": "Skill registry",
      "description": "Install a signed skill from the chapter's skill registry. The skill's Ed25519 signature is verified before it touches disk. After install, the skill's tools become available in future turns.",
      "tags": [
        "skill",
        "install",
        "capability"
      ],
      "examples": [
        "Install the file-ops skill from the chapter registry",
        "Rate the pdf-summarizer skill 5 stars"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.trust",
      "name": "Trust reporting",
      "description": "Return your current trust score + tier (newcomer / established / trusted / power).",
      "tags": [
        "trust",
        "reputation"
      ],
      "examples": [
        "What's my current trust score?"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.settings",
      "name": "Settings management",
      "description": "Update your per-agent settings bag. Supports llm / voice / channels / trust / privacy top-level keys. Unknown keys refused.",
      "tags": [
        "settings",
        "config"
      ],
      "examples": [
        "Switch my LLM provider to Anthropic"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.channels",
      "name": "External channels",
      "description": "Register a channel connection \u2014 Slack / email / discord / webhook \u2014 so inbound messages from that platform route into your agent session.",
      "tags": [
        "channel",
        "slack",
        "email"
      ],
      "examples": [
        "Connect my Slack workspace"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    },
    {
      "id": "skill.topical",
      "name": "Topical expertise",
      "description": "Areas of human expertise declared by the member during onboarding. Not directly invokable \u2014 used for discovery ranking.",
      "tags": [
        "observation-scheduling",
        "orbital-analysis",
        "payload-science",
        "peer-review"
      ],
      "inputModes": [
        "text"
      ],
      "outputModes": [
        "text"
      ]
    }
  ],
  "x-nanda": {
    "spec": "nanda-index-v0.1",
    "a2a_method_access": {
      "nanda/cosignReceipt": "caller-required",
      "nanda/legacyTaskCensus": "caller-required",
      "tasks/cancel": "caller-required",
      "tasks/get": "open",
      "tasks/resubscribe": "open",
      "tasks/send": "caller-required",
      "tasks/sendSubscribe": "caller-required"
    },
    "did": "did:key:z6Mkp2eQgTdfvfPQE47dZff2o8KhszH2n2QbY5xcwuBfV8sr",
    "chapter_url": "https://server-production-9ec7.up.railway.app",
    "agentfacts_url": "https://chief-scientist-production.up.railway.app/agentfacts.json",
    "lifecycle": {
      "version": "orrery-lifecycle/0.1",
      "state": "not_established",
      "subject": null,
      "since": null,
      "revoking_authority": null,
      "reason": null,
      "owner_attested": false
    },
    "lifecycle_url": "https://chief-scientist-production.up.railway.app/.well-known/agent-lifecycle.json"
  }
}