Skip to content
All Skills

Qzcli

Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. Use when user says "qzcli", "启智平台", "submit job", "stop job", "查计算组", "avail", "list jobs", "batch submit", or needs to manage distributed training jobs on a Qizhi instance.

Data, AI & Research|v1|Updated 7/2/2026|GitHub source
MCP get_skill({ skillId: "qzcli-e58f03b4" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# qzcli — 启智平台任务管理

A kubectl/docker-style CLI for managing GPU compute jobs on the Qizhi (启智) platform.

**GitHub:** [tianyilt/qzcli_tool](https://github.com/tianyilt/qzcli_tool)

## Installation

```bash
pip install rich requests prompt_toolkit mcp
git clone https://github.com/tianyilt/qzcli_tool
cd qzcli_tool && pip install -e .
```

### MCP Integration (optional)

To use qzcli as an MCP tool directly from Claude Code or Codex:

```bash
# Claude Code
claude mcp add qzcli -- qzcli-mcp

# Codex
codex mcp add qzcli -- qzcli-mcp
```

---

## Configuration

Credentials are read in this priority order:
`CLI args > --password-stdin > env vars > QZCLI_ENV_FILE (.env) > ~/.qzcli/config.json > interactive input`

```bash
# Option A: env file (recommended)
mkdir -p ~/.qzcli
cat > ~/.qzcli/.env <<'EOF'
QZCLI_USERNAME="your_username"
QZCLI_PASSWORD="your_password"
EOF

# Option B: environment variables
export QZCLI_USERNAME="your_username"
export QZCLI_PASSWORD="your_password"
export QZCLI_API_URL="https://qz.yourorg.edu.cn"
```

Config files are stored in `~/.qzcli/`: `config.json`, `.cookie`, `resources.json`, `jobs.json`.

---

Continue reading

Sign up for a free account to view the full skill content

Login / Register
#broad-capability#wanshuiyin-aris#ml-research#autonomous#distributed#trainingbashqzcliqizhi
Qzcli - AgentArmory Skill — AgentArmory