Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tianyilt/qzcli_tool --skill qzcli-mcpgit clone --depth 1 https://github.com/tianyilt/qzcli_toolWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tianyilt/qzcli_tool/qzcli-mcp)<a href="https://agentmods.dev/skills/tianyilt/qzcli_tool/qzcli-mcp"><img src="https://agentmods.dev/badge/skills/tianyilt/qzcli_tool/qzcli-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tianyilt/qzcli_tool/qzcli-mcp"><img src="https://agentmods.dev/badge/skills/tianyilt/qzcli_tool/qzcli-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.00492 |
| Opus 5.5 | $0.00023 | $0.00197 |
| Sonnet 5.5 | $0.00011 | $0.00098 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
qzcli-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
qzcli MCP
使用这个 skill 时，优先通过 qzcli-mcp 暴露的工具获取实时信息，不要凭空假设启智平台状态枚举稳定不变。
何时使用
- 用户要看启智平台任务、工作空间、计算组、GPU 使用情况
- 用户要找“哪里还有空机器 / 哪个计算组适合提任务”
- 用户明确担心状态字段、cookie 名、返回结构可能漂移
- 用户要排查“为什么现在模型识别不到某种状态”
工作流
- 如果还没有认证，先用
qz_auth_login或qz_set_cookie - 如果 workspace / 计算组缓存可能过期，先用
qz_refresh_resources - 查询资源推荐时，优先用
qz_get_availability - 查询任务时，优先用
qz_list_jobs/qz_get_job_detail - 如果状态看起来异常或出现未知枚举，调用
qz_inspect_status_catalog
状态处理规则
- 永远优先看
status_raw status_family只是便于上层决策的弱归一化结果- 不要把
status_family当成平台真实枚举 - 需要解释差异时，直接引用
raw中的字段名和值
推荐模式
- 看整体资源：
qz_list_workspaces->qz_refresh_resources->qz_get_availability - 看任务：
qz_list_jobs，必要时再对单条调用qz_get_job_detail - 排查漂移：
qz_inspect_status_catalog，重点关注unknown_statuses
输出建议
- 面向用户汇报时，同时给出“归一化判断”和“原始状态”
- 当发现未知状态时，明确说明这是平台新状态或未覆盖状态，而不是直接误判为失败
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 42 lines · 57 tokens per session scan A 54b1dbc43abd
qzcli-mcp is a skill published in the GitHub repository tianyilt/qzcli_tool (140 stars, last pushed 13d ago), licensed MIT. It adds 57 tokens to every session and 492 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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