How do I install the Status skill?

Run npx skillmds@latest add jantoniofc/status in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Status skill do?

Show DAG state, agent progress, and branch status for an AgentHub session. It is listed under AI & ML on SkillMD.

Is Status safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Status?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Status free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Status?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Status by jantoniofc — Agent Skill

Name: Status
Rating: 4.2 (5 reviews)
Author: JantonioFC

File contents

/hub:status — Session Status

Display the current state of an AgentHub session: agent branches, commit counts, frontier status, and board updates.

Usage

/hub:status                        # Status for latest session
/hub:status 20260317-143022        # Status for specific session

What It Does

Run session overview:

python {skill_path}/scripts/session_manager.py --status {session-id}

Run DAG analysis:

python {skill_path}/scripts/dag_analyzer.py --status --session {session-id}

Read recent board updates:

python {skill_path}/scripts/board_manager.py --read progress

Output Format

Session: 20260317-143022 (running)
Task: Optimize API response time below 100ms
Agents: 3 | Base: dev

AGENT    BRANCH                                        COMMITS  STATUS     LAST UPDATE
agent-1  hub/20260317-143022/agent-1/attempt-1         3        frontier   2026-03-17 14:35:10
agent-2  hub/20260317-143022/agent-2/attempt-1         5        frontier   2026-03-17 14:36:45
agent-3  hub/20260317-143022/agent-3/attempt-1         2        frontier   2026-03-17 14:34:22

Recent Board Activity:
  [progress] agent-1: Implemented caching, running tests
  [progress] agent-2: Hash map approach working, benchmarking
  [results]  agent-2: Final result posted

Example output for a content task:

Session: 20260317-151200 (running)
Task: Draft 3 competing taglines for product launch
Agents: 3 | Base: dev

AGENT    BRANCH                                        COMMITS  STATUS     LAST UPDATE
agent-1  hub/20260317-151200/agent-1/attempt-1         2        frontier   2026-03-17 15:18:30
agent-2  hub/20260317-151200/agent-2/attempt-1         2        frontier   2026-03-17 15:19:12
agent-3  hub/20260317-151200/agent-3/attempt-1         1        frontier   2026-03-17 15:17:55

Recent Board Activity:
  [progress] agent-1: Storytelling angle draft complete, refining CTA
  [progress] agent-2: Benefit-led draft done, testing urgency variant
  [results]  agent-3: Final result posted

After Status

If all agents have posted results:

Suggest /hub:eval to rank results

If some agents are still running:

Show which are done vs in-progress
Suggest waiting or checking again later

When to Use

Show DAG state, agent progress, and branch status for an AgentHub session.

Covers: /hub:status — Session Status, What It Does, Output Format, After Status.

---name: statusdescription: Show DAG state, agent progress, and branch status for an AgentHub session.license: MIT---# /hub:status — Session StatusDisplay the current state of an AgentHub session: agent branches, commit counts, frontier status, and board updates.## Usage```/hub:status # Status for latest session/hub:status 20260317-143022 # Status for specific session```## What It Does1. Run session overview:```bashpython {skill_path}/scripts/session_manager.py --status {session-id}```2. Run DAG analysis:```bashpython {skill_path}/scripts/dag_analyzer.py --status --session {session-id}```3. Read recent board updates:```bashpython {skill_path}/scripts/board_manager.py --read progress```## Output Format```Session: 20260317-143022 (running)Task: Optimize API response time below 100msAgents: 3 | Base: devAGENT BRANCH COMMITS STATUS LAST UPDATEagent-1 hub/20260317-143022/agent-1/attempt-1 3 frontier 2026-03-17 14:35:10agent-2 hub/20260317-143022/agent-2/attempt-1 5 frontier 2026-03-17 14:36:45agent-3 hub/20260317-143022/agent-3/attempt-1 2 frontier 2026-03-17 14:34:22Recent Board Activity: [progress] agent-1: Implemented caching, running tests [progress] agent-2: Hash map approach working, benchmarking [results] agent-2: Final result posted```Example output for a content task:```Session: 20260317-151200 (running)Task: Draft 3 competing taglines for product launchAgents: 3 | Base: devAGENT BRANCH COMMITS STATUS LAST UPDATEagent-1 hub/20260317-151200/agent-1/attempt-1 2 frontier 2026-03-17 15:18:30agent-2 hub/20260317-151200/agent-2/attempt-1 2 frontier 2026-03-17 15:19:12agent-3 hub/20260317-151200/agent-3/attempt-1 1 frontier 2026-03-17 15:17:55Recent Board Activity: [progress] agent-1: Storytelling angle draft complete, refining CTA [progress] agent-2: Benefit-led draft done, testing urgency variant [results] agent-3: Final result posted```## After StatusIf all agents have posted results:- Suggest `/hub:eval` to rank resultsIf some agents are still running:- Show which are done vs in-progress- Suggest waiting or checking again later## When to UseShow DAG state, agent progress, and branch status for an AgentHub session.Covers: /hub:status — Session Status, What It Does, Output Format, After Status.

Frequently asked questions

Status