qzcli_tool: 启智平台任务管理 CLI:资源查询、任务提交、日志查看和 MCP/agent workflow

by tianyilt · MCP Server · ★ 133

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-infrastructurecliinspiremcpqzcli

Quick Facts

Stars133
Forks28
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65/100
Last Updated2026-09-21
Created2026-01-21
Platformscli, mcp, python
Est. Tokens~17k

About qzcli_tool

qzcli - 启智平台任务管理 CLI 一个类似 / 风格的启智平台命令行工具,把资源查询、任务提交、任务管理、日志查看和 MCP/agent 工作流收敛到 CLI 里完成。 项目链接 Release: Changelog: CHANGELOG.md Issues: License: MIT 特性 一键登录: 通过 CAS 认证自动获取 cookie,无需手动复制 资源发现: 调 / 聚合工作空间、计算组、项目并本地缓存(默认 quick 模式秒级返回;需要更新 specs 时加 走全量历史任务扫描) 节点查询: 查询各计算组空余节点,支持低优任务统计和 cookie 失效自动刷新 交互式提交: 提供层级式选择界面,缺少快照时按需预加载 任务列表: 美观的卡片式显示,完整 URL 方便点击 日志查看: 直连平台日志接口,支持 tail、follow、raw/json 输出 状态监控:...

Compatible Skills

These tools work well together with qzcli_tool for enhanced workflows:

  • infra-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • invincat — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • bitloops — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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