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Automation
Command

/status

Show the current status of a NanoResearch workspace.

From plugin
nanoresearch
1.3k9 skills9 commands
$ npx -y skills add OpenRaiser/NanoResearch --agent claude-code

Command definition

status.md

Status — Check Research Pipeline Status

Show the current status of a NanoResearch workspace.

Instructions

1. Find the most recent workspace under `~/.nanoresearch/workspace/research/`. If `$ARGUMENTS` is provided, treat it as a workspace path.

2. Read `manifest.json` from the workspace directory.

3. **Normalize the schema** before display (manifests come in two variants):

  • **Old schema** (`schema_version: "1.1"`): stage keys are UPPERCASE (`IDEATION`, `PLANNING`...), `current_stage` is UPPERCASE (`DONE`, `FAILED`...), may have extra stages (`INIT`, `FORMAT_FIX`), artifacts are `[{name, path, stage, checksum}]`
  • **New schema**: stage keys are lowercase, artifacts are `["path"]`
  • **Always display in lowercase.** Convert stage keys and `current_stage` to lowercase.
  • The canonical stage order is: `ideation`, `planning`, `setup`, `coding`, `execution`, `analysis`, `figure_gen`, `writing`, `review`. Skip any stages not in this list (e.g., `INIT`, `FORMAT_FIX`).
  • For artifacts: if an entry is an object, use its `path` field; if a string, use it directly.

4. Display a summary table:

  • Session ID
  • Topic
  • Schema version (old v1.1 / new)
  • Current stage
  • For each canonical stage: status (pending/running/completed/failed), timestamps
  • List of produced artifacts with file paths

5. If no workspace exists, say so and suggest running `/project:research "topic"` to start.

Output Format

Session: {session_id}
Topic: {topic}
Schema: {v1.1 | claude-code}
Current Stage: {current_stage}

Stage          Status      Started              Completed
─────          ──────      ───────              ─────────
ideation       completed   2026-03-18 10:00:00  2026-03-18 10:05:00
planning       completed   2026-03-18 10:05:01  2026-03-18 10:10:00
setup          running     2026-03-18 10:10:01  -
...

Artifacts:
  - papers/ideation_output.json (12.3 KB)
  - plans/experiment_blueprint.json (8.1 KB)
Read more
@openraiser
Ships withnanoresearch

端到端自主 AI 科研引擎 — 从研究想法到完整论文,全程自动化 快速开始 · 效果展示 · 流水线 · Claude Code · 飞书机器人 🔬 NanoResearch 真正运行计算实验——它不仅生成代码,还能将代码提交到 GPU 集群执行训练,收集真实实验结果,生成论文配图,最终输出一篇有实验数据支撑的完整 LaTeX 论文。论文中的每一个数据、表格、图表都来自实际运行的实验结果,而非 LLM 编造。

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