Skills

Fleet Runs

Summarize Workflow-tool fleet runs from the Agent Monitor, these fleets emit no hooks...

Install

npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill fleet-runs -g -a claude-code -y
Category
AI and agents
Updated
5d ago
License
MIT
Context cost
Lightabout 531 tokens
Runs scripts
No, instructions only

What it does

Summarize Workflow-tool fleet runs from the Agent Monitor, these fleets emit no hooks and are ingested from on-disk run journals. List recent runs with status and agents-per-run, then drill into a single run's per-agent detail. Reconciles against the live run-state endpoints. Use when reviewing Workflow() fleets rather than hook-instrumented interactive sessions.

Fleet Runs

Summarize Workflow-tool (Workflow()) fleet runs and drill into one run's agents.

Input

The user provides: $ARGUMENTS

  • Empty → list the most recent fleet runs.
  • A run ID → drill into that single run.
  • latest → drill into the most recent run.

These fleets emit no hooks; the dashboard ingests them from on-disk Workflow-tool run journals, so this data is independent of the hook event stream.

Data Sources

EndpointReturns
GET /api/workflows/runsList of ingested fleet run journals: run id, status, agent count, timing
GET /api/workflows/runs/{runId}One run in detail: per-agent status, timing, type, and outputs
GET /api/runLive run state across the fleet (current/active runs)
GET /api/run/{id}Live state for one run, to reconcile against the journal

Report Sections

1. Runs Overview (when listing)

Run IDStatusAgentsStartedDuration
Sort most recent first. Add a one-line status mix below (e.g. 8 runs: 5 completed, 2 running, 1 error).

2. Run Detail (when a run ID / latest is given)

From GET /api/workflows/runs/{runId}, reconciled with GET /api/run/{id}:

  • Header: run id, status, total agents, wall-clock duration.
  • Per-agent table:
    AgentTypeStatusDurationNotes
  • Call out the longest-running agent and any agent with an error/failed status.

3. Status & Health

Completion rate (completed / total agents), any stalled or errored agents, and whether the journal and the live run-state endpoint agree (flag drift if they do not).

Output

Read the whole SKILL.md on GitHub

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