Displays the real-time execution status, progress, and history for AgentHub sessions.
Install
mkdir -p .claude/skills/status-konankirajesh7-raj && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13868" && unzip -o skill.zip -d .claude/skills/status-konankirajesh7-raj && rm skill.zipInstalls to .claude/skills/status-konankirajesh7-raj
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Show DAG state, agent progress, and branch status for an AgentHub session.Key capabilities
- →Display current session status
- →Show agent branch information
- →Report agent commit counts
- →Indicate agent status (e.g., frontier)
- →Read recent board updates
- →Suggest next steps based on agent progress
How it works
The skill runs Python scripts to gather session overview, DAG analysis, and recent board updates, then formats this information for display.
Inputs & outputs
When to use status
- →Check agent task progress
- →Review session status
- →Analyze DAG completion state
About this skill
/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:evalto rank results
If some agents are still running:
- Show which are done vs in-progress
- Suggest waiting or checking again later
When not to use it
- →When the user needs to rank results before all agents have posted
Limitations
- →The skill only displays the current state of an AgentHub session.
- →The skill suggests /hub:eval to rank results only if all agents have posted results.
- →The skill suggests waiting or checking again later if some agents are still running.
How it compares
This skill consolidates and formats session status information from multiple sources into a single, readable output, unlike manually checking individual components.
Compared to similar skills
status side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| status (this skill) | 0 | 4mo | Review | Beginner |
| session-status | 1 | 7mo | Review | Beginner |
| it-operations | 1 | 7mo | No flags | Advanced |
| customerio-cost-tuning | 0 | 28d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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