
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- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- 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
| Endpoint | Returns |
|---|---|
GET /api/workflows/runs | List 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/run | Live 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 ID | Status | Agents | Started | Duration |
|---|---|---|---|---|
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:
Agent Type Status Duration Notes - 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).

