用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/raids-lab/crater --skill crater-cli-job命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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| name | crater-cli-job |
| version | 0.3.0 |
| description | Use Crater CLI job commands to list, inspect, view logs, create, stop, and snapshot jobs. |
| metadata | {"requires":{"bins":["crater"]},"cliHelp":"crater job --help"} |
Use this skill when the user asks to operate Crater jobs from the CLI: list jobs, inspect details, view pods/logs/events/YAML/templates, get Jupyter/WebIDE access, open SSH, create jobs, stop/delete jobs, or snapshot jobs.
CRITICAL — Before doing anything else, MUST read crater-cli-shared (possible path: ../crater-cli-shared/SKILL.md) for global options, non-interactive use, errors, confirmation, and secret handling.
crater job ls [--search TEXT] [--page N] [--page-size N] [--all-pages]crater job get|events|yaml|template <jobName>crater job pods <jobName> [--status STATUS] [--search TEXT] [--page N] [--page-size N] [--all-pages]crater job logs <jobName> [--pod POD | --all-pods] [-c CONTAINER | --all-containers]crater job token <jobName>, crater job secret <jobName>, crater job ssh <jobName>crater job snapshot <jobName>, crater job alert <jobName>, crater job delete <jobName>crater job create jupyter|webide ...crater job create custom ...crater job create tensorflow|pytorch --file request.jsonUse crater job ls --search <text> --json --no-interactive before destructive actions to confirm the exact jobName. The list defaults to page 1 with 15 records (maximum page size 200); follow data.pagination rather than assuming the first page is complete. User-facing display names are not always accepted by job APIs.
Job list pagination is server-side. When --owner, --from, or --to is used, the CLI fetches all candidate server pages, applies those local filters, and re-paginates the filtered result. --all-pages starts at the first server page and omits data.pagination.
job get|pods|logs|events|yaml locate resources through the job API and preserve the backend's real namespace. Direct crater pod ... diagnostics require an explicit namespace; crater node pods requires either --namespace or --all-namespaces. Do not invent a fixed namespace for either path.
For create commands, validate resource values before calling the platform. CPU, memory, and GPU counts must not be negative; task replicas must be positive. Workspace mounts use subPath:mountPath; dataset mounts use datasetID:mountPath; forwards use name:port.
For Jupyter/WebIDE access commands, the returned token or password is sensitive. Prefer JSON only when the next tool needs structured fields, and avoid echoing secrets into logs or issue bodies.
List running GPU jobs for a user:
crater job ls --user alice --status Running --page-size 15 --json --no-interactive
Inspect a job:
crater job get jpt-alice-abcde --json --no-interactive
crater job pods jpt-alice-abcde --status Running --page-size 15 --json --no-interactive
crater job events jpt-alice-abcde --json --no-interactive
View recent logs for a single-pod job:
crater job logs sg-alice-abcde --tail 200 --timestamps --no-interactive
View every Pod in a distributed job:
crater job logs pyt-alice-abcde --all-pods --tail 100 --no-interactive
Follow one selected worker:
crater job logs pyt-alice-abcde \
--pod pyt-alice-abcde-worker-0 \
--container worker \
--follow
Create a Jupyter job:
crater job create jupyter \
--name experiment-notebook \
--image harbor.example/project/jupyter:latest \
--cpu 4 \
--memory 16Gi \
--gpu 1 \
--gpu-resource nvidia.com/gpu \
--json --no-interactive
Create a distributed PyTorch job from an exact backend-compatible request:
crater job create pytorch --file pytorch-job.json --json --no-interactive
Stop or delete a job:
crater job delete jpt-alice-abcde --yes --json --no-interactive
crater job create tensorflow|pytorch intentionally uses --file because the backend accepts a nested tasks[] request. The CLI rejects unknown JSON fields. Keep the JSON aligned with the backend DTO fields: name, tasks, resource, image.imageLink, volumeMounts, envs, selectors, alertEnabled, template, and optional scheduling fields. Distributed TensorFlow and PyTorch jobs do not support backfill scheduling.
Pagination and job filter validation are aggregated. If a JSON usage_error contains context.issues, fix all listed fields before retrying.
crater job logs automatically selects a single Pod and regular container. It never falls back to an init container: use --container or --all-containers to select init containers explicitly. For distributed jobs, explicitly choose --pod or --all-pods; for sidecar Pods, choose --container or --all-containers. --follow requires exactly one Pod and container and cannot be combined with --json or --previous. --prefix affects text output only; JSON already identifies each source with pod and container fields.
基于 SOC 职业分类