Autonomous Agents Fleet Operations — Knowledge Module Reference

Fleet Operations

Operational workflows for autonomous agent fleets: repo management, environment updates, QA validation, SE implementation, PM planning and sprint management, SD coverage improvement, public data collection.

Collection Workflow

agent_collect_source collects structured data from any public URL. It's a two-step workflow:

1. Claude loads platform skill packs, navigates to the source, extracts items, saves JSON to /tmp/collect_result.json
2. curl POSTs the file to the callback_url with agent auth headers, then cleans up

Output Contract

{
  "collect_result": {
    "source_url": "https://...",
    "platform": "truthsocial|x|whitehouse|reddit|...",
    "captured_at": "ISO8601",
    "items": [
      {
        "external_id": "post-123",
        "event_type": "post|article|executive_order|statement",
        "published_at": "ISO8601",
        "title": "...",
        "content": "Full text...",
        "url": "https://...",
        "engagement": {"likes": 100, "replies": 20}
      }
    ],
    "item_count": 5
  }
}

Auth

The curl step sends:

• Authorization: Bearer $SIDEBUTTON_AGENT_TOKEN — standard agent token from ~/.agent-env
• X-Agent-Name: $SIDEBUTTON_AGENT_NAME — agent identifier for tracing

The receiving API validates the token and records the agent name.