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fleet-runs

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

Install / Use

npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill fleet-runs

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

81/100

Category

Automation

Supported Platforms

Universal

Our assessment of fleet-runs

fleet-runs scores 81/100 on our quality scale, 2354th of 2,843 Automation skills we index.

Its SKILL.md is 2.5 KB long, well organised into 8 sections and no code examples: a solid amount of guidance for an agent.

With 1,015 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 10 days ago, so fleet-runs is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

fleet-runs compared with similar skills

All 4 of these similar skills score higher than fleet-runs; compare them before choosing.

SkillScoreStarsUpdatedFormat
fleet-runs (this skill)by hoangsonww811.0k10d agoSKILL.md
Agent-Reachby Panniantong10089.8k18d agoCLAUDE.md
Scraplingby D4Vinci10085.5ktodayMCP Server
rufloby ruvnet10073.8ktodayMCP Server
algorithmic-artby anthropics100177.9k11d agoSKILL.md

Frequently asked questions

How do I install fleet-runs?
Run npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill fleet-runs. The install tabs above show the steps for each supported agent.
Which AI agents does fleet-runs work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is fleet-runs safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is fleet-runs still maintained?
The repository was last updated 10 days ago, so fleet-runs is actively maintained.

name: fleet-runs description: > 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).

Output

  • Markdown tables; status mix as a single summary line.
  • Durations in human units (e.g. 3m 04s).
  • Make explicit that these runs come from run journals (no hooks), so hook-derived metrics do not apply.
  • Cite only runs and agents returned by the API; never invent runs.
  • If there are no fleet runs, say so plainly.
  • If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

Related Skills

View on GitHub
GitHub Stars1.0k
CategoryAutomation
Updated10d ago
Forks238

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions