Skill v1.0.2

version: "1.0.2" name: memtrace-fleet-resolve description: "Resolve a Class C fleet decision: submit your verdict as an agent judge (fleet_submit_verdict), poll your own directive (fleet_get_escalation), see the needs-human queue (fleet_list_escalations), or record a human decision (fleet_resolve_escalation). Use when the user says 'a decision is waiting' or 'who should proceed', when you are handed a mediation_request, when acting as a mediator between two agents, or when a human chooses a winner in the dashboard. For the underlying conflict-class model and decision loop, see memtrace-fleet-first."

Overview

The tools that resolve a Class C conflict. The judging is done by the user's own agents (no API keys): an agent reads the bundle and submits a verdict; the daemon is the deterministic referee that decides the outcome and routes it back.

Submit a verdict (you are the judge)

You were handed a mediation_request (from fleet_record_episode). Read every agent's `assignment` in it and decide on merit — including against your own change:

fleet_submit_verdict({
  escalation_id: "01J…",
  agent_id: "agent-a",
  verdict: { "kind": "recommend", "winner": "agent-b",
             "rationale": "wider contract; rebase the fix onto it", "confidence": 0.8 }
})
// kinds: reconcile {merge_plan} | recommend {winner, rationale, confidence} | defer_to_human {question}

Full parameter spec for every Memtrace tool: references/mcp-parameters.md (bundled at the memtrace-skills plugin root).

The response tells you the outcome (auto_apply | human_confirm | human_required | pending) and your_directive.

Read your own directive (you are blocked)

fleet_get_escalation({ escalation_id: "01J…", agent_id: "agent-a" })
// → your_directive: wait | proceed | defer | review

Poll until it's not wait. proceed = continue; defer = stand down and rebase onto the winner; review = read resolution.

Human paths

• fleet_list_escalations({repo_id}) — the per-repo "needs human" queue.
• fleet_resolve_escalation({escalation_id, resolution, winner}) — record a human

decision (pick which agent proceeds) and clear it. Prefer the agent-judge path; use this for genuine human/product calls.

Every verdict and resolution persists to the escalation record as the audit trail — review any decision later via fleet_get_escalation / fleet_list_escalations.

Safety the referee guarantees

• A destructive removal (delete/move) is never auto-applied — always a human.
• Auto-apply happens only for the clear-safe machine case or ≥2 agents agreeing on

a non-destructive resolution.

• So a wrong verdict degrades to "a human reviews a suggestion," never a silent

bad merge.

Output

fleet_submit_verdict and fleet_get_escalation both return the referee's decision:

{
  "outcome": "human_confirm",  // auto_apply | human_confirm | human_required | pending
  "your_directive": "wait",    // wait | proceed | defer | review
  "resolution": "agent-b proceeds; agent-a rebases onto the wider contract"
                               // set once the escalation is resolved (directive = review)
}