メニュー
Inspect remote training stack health for conda envs, verl or veomni versions, and minimal one-step training smoke tests. Use when validating training dependencies, stack probe outputs, minimal runner behavior, or train stack readiness before data collection.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Enforce AutoResearch loop cadence, attempt, token, time, sub-agent, remote-compute, and kill-switch limits.
Load and enforce AutoResearch loop constraints before triage, edits, remote work, or external writes.
Read AutoResearch run evidence and loop state, then propose one bounded next experiment or escalate. L1 is report-only.
从 Verl examples 脚本和示例 YAML 中维护“可控参数即特性”的中文情报库与 Excel 台账。Use when Codex needs to scan Verl examples/run scripts, extract all user-adjustable parameters and Hydra overrides, create or update per-parameter markdown explanation files under docs/verl/features/lists, use subagents to research unclear parameters from local explanation files, official Verl docs, and repo docs, and produce docs/verl/features/verl-example-parameters.xlsx with parameter name, category, Chinese explanation, common values, performance impact, accuracy impact, and example count.
Generate RMB task cost reports from Codex/OpenAI-style token usage, including total input tokens, cached input tokens, uncached input tokens, output tokens, and GPT plus DeepSeek API cost estimates. Use when the user asks to统计 token 消耗, API 费用, 人民币成本, cache hit 成本, GPT/DeepSeek 对比, or to produce an `RMB-Cost.md` report for a task, goal, session, or experiment. Use by default for any goal, experiment, remote run, long command, or automation whose expected or actual runtime exceeds 20 minutes.
Verl GRPO formal case adapter for AutoResearch. Use when building, running, or diagnosing autoresearch run verl-case; preparing Qwen/geo3k GRPO matrices; wiring Verl containers to model/data assets, W&B, Prometheus, reports, provenance, and numbered evidence bundles; or explaining val-only versus real GRPO training boundaries.
| name | train-stack-health |
| description | Inspect remote training stack health for conda envs, verl or veomni versions, and minimal one-step training smoke tests. Use when validating training dependencies, stack probe outputs, minimal runner behavior, or train stack readiness before data collection. |
探测 conda env + verl/veomni 版本 + 跑 1-step 最小用例。
| Use | Don't Use |
|---|---|
conda env list + pip list 解析 | 远程硬件 (这是 03) |
| 跑 verl/veomni 1-step 烟雾用例 | 网络测速 (这是 04) |
| 验证 min 1 step 跑通 + loss 下降 | 远程服务可达 (这是 05) |
| 输出 train stack 健康表 | 报告渲染 |
python3 .agents/skills/06-train-stack-health/scripts/stack_probe.py \
--config ./config/config.yaml --server nvidia-01
⏳ Phase 8 待开发。