القائمة
Implement — Show DAG state, agent progress, and branch status for an AgentHub session.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/thiagofernandes1987-create/APEX --skill statusيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
| 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"}] |
Display the current state of an AgentHub session: agent branches, commit counts, frontier status, and board updates.
/hub:status # Status for latest session
/hub:status 20260317-143022 # Status for specific session
python {skill_path}/scripts/session_manager.py --status {session-id}
python {skill_path}/scripts/dag_analyzer.py --status --session {session-id}
python {skill_path}/scripts/board_manager.py --read progress
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
If all agents have posted results:
/hub:eval to rank resultsIf some agents are still running:
Implement — Show DAG state, agent progress, and branch status for an AgentHub session.
Use this skill when the task requires status capabilities.
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.
Token-aware reasoning workflow with real tools: picks an operating mode to control cost, runs a structured pipeline (decompose → validate → verify → snapshot), and gives Claude Program-of-Thought, RK4/Euler, a code gate, and a safe skill router. Use when: multi-step or high-stakes tasks, real math, precise computation, audits, or the user mentions APEX, PoT, pipeline, or scientific mode.
**v00.33.0**: Ingested from antigravity-awesome-skills community repo
run multiple local CLI agents in parallel (separate tmux sessions)