status
Implement — Show DAG state, agent progress, and branch status for an AgentHub session.
Quellinformationen
- Repository
- thiagofernandes1987-create/APEX
- Letzte Quellaktivität
- 18. April 2026 um 09:35
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 2
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- status
- description
- Implement — Show DAG state, agent progress, and branch status for an AgentHub session.
- command
- /hub:status
- executor
- LLM_BEHAVIOR
- skill_id
- engineering.cs_engineering.agenthub.status
- status
- ADOPTED
- security
- {"level":"standard","pii":false,"approval_required":false}
- anchors
- ["engineering","agent"]
- input_schema
- [{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}]
- output_schema
- [{"name":"result","type":"string","description":"Primary output from status"}]
# /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
1. Run session overview:
```bash
python {skill_path}/scripts/session_manager.py --status {session-id}
```
2. Run DAG analysis:
```bash
python {skill_path}/scripts/dag_analyzer.py --status --session {session-id}
```
3. Read recent board updates:
```bash
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
---
## Why This Skill Exists
Implement — Show DAG state, agent progress, and branch status for an AgentHub session.
<!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. -->
## When to Use
Use this skill when the task requires status capabilities.
<!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). -->
## What If Fails
If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill.
<!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->
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