dsh-scnet
面向 SCNet HPC 的 Community DeepSeek Harness bundle：基于配置文件的 SSH、CPU/DCU Slurm 作业、集群探测、计算节点诊断，以及 Hygon DCU/DTK 指南。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add dsh-scnet@0.4.2Scnet 以 dsh-scnet 发布，当前版本为 0.4.2。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
DSH-SCNet (dsh-scnet on npm) is a community-maintained DSH bundle for operating Supercomputing Network (SCNet) clusters. It packages the canonical scnet-hpc skill, profile-aware shell utilities, and seven deterministic tools for SSH setup, Slurm job generation, cluster discovery, and compute-node diagnostics.
This is an independent community project. It is compatible with DeepSeek Harness but is not an official DeepSeek product and does not imply endorsement, partnership, or authorization by DeepSeek.
dsh)dsh plugin --profile web add dsh-scnet
Then verify that the bundle layer is present:
dsh --profile web --dump-config
See Installation for npm, GitHub, and local-checkout workflows.
| Component | Purpose |
|---|---|
scnet-hpc skill | Profile-based operating guidance for SSH, Slurm, offline compute nodes, and accelerator validation |
scnet_list_clusters | List packaged cluster profiles |
scnet_show_cluster | Read a selected profile before reporting resource constraints |
scnet_generate_job | Generate profile-aware accelerator or CPU-only Slurm scripts |
scnet_setup_ssh | Configure a local SSH key and host entry with explicit user confirmation |
scnet_probe_cluster | Produce an initial profile from read-only login-node probes |
scnet_refresh_cluster | Refresh time-sensitive profile fields; compute probing is opt-in |
scnet_run_compute_probe | Submit a minimal compute-node capability probe |
Packaged profiles currently cover Zhengzhou, Kunshan, Wuzhen, and Xi'an SCNet environments. Cluster specifications and scheduler policies remain profile-specific and should be verified against the target environment.
.
├── package.json
├── cordis.patch.yml
├── index.mjs
├── skills/scnet-hpc/
│ ├── SKILL.md
│ ├── clusters/
│ ├── references/
│ └── scripts/
├── scripts/validate-package.mjs
├── docs/
├── sync.sh
└── .github/workflows/
The package is a DSH bundle: package.json declares dsh.bundle.patch, and cordis.patch.yml mounts both the tool plugin and the packaged skill directory through @deepseek-ai/dsh-skill-filesystem.
The skills/scnet-hpc/ directory is generated from the canonical scnet-hpc repository:
./sync.sh --src ../scnet-hpc
Do not maintain the generated directory independently. The sync excludes the canonical installer and local probe cache because neither belongs in the npm runtime package.
npm install --no-package-lock --ignore-scripts
npm run validate
npm pack --dry-run
See Testing for local package installation and risk-ordered runtime checks.
The project uses the abbreviated DSH ecosystem identifier in its name. References to “DeepSeek Harness” are descriptive compatibility statements only. No official logo or other DeepSeek brand asset is distributed by this package.
The naming and attribution policy follows the DeepSeek Harness brand guidelines.
This project is released under the MIT License. Subject to the license terms, the software may be used, copied, modified, merged, published, sublicensed, and distributed, including for commercial purposes.
Redistributions must retain the copyright notice and the MIT license notice. The software is provided “as is,” without warranties of any kind; users are responsible for evaluating the suitability and risks of the bundle, skill instructions, cluster profiles, scripts, and generated outputs for their own environment.