lab-containers
Pull, build, update, version-check or use the lab's Singularity container images (SIF, ghcr.io liulab-runtime) on ircbc: run commands, pixi-env shells or…
Skill by liuhlab
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/liuhlab-lab-containers
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: devops
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/lab-containers
What's inside
- Skill name
lab-containers- Description
- Pull, build, update, version-check or use the lab's Singularity container images (SIF, ghcr.io liulab-runtime) on ircbc: run commands, pixi-env shells or Jupyter inside them, and the $LIU_LAB_PACKAGES shared store. ircbc compute nodes have no internet, so: crane pull on the login node, sbatch build from docker-archive, digest-based version checks.
- License
- MIT
- Instructions
- 49 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: references/ircbc-hpc.md
Files (3)
- SKILL.md
- update-image.md · references/
- using-images.md · references/
SKILL.md (first lines)
# Lab container images: check → pull → build → test → use Repeatable procedure for `liulab-runtime` environments on ircbc as Singularity images. Follow `lab-hpc` first (step-0 preflight, `personal.md`, the VPN caveat, confirm every sbatch and srun with the user), and its `references/ircbc-hpc.md` for the facts underneath — network topology, `$LIU_LAB_PACKAGES` layout, proxy gotchas. **Scope: ircbc only.** Its compute nodes have no internet and all real work there runs inside SIFs. Do not apply these recipes to arc — arc runs the same `liulab-runtime` environments natively via pixi (see `lab-hpc`); reach for a SIF there only if the user explicitly asks. ## Where each step runs Work belongs on a compute node. This skill holds the one honest exception: `crane` talks to ghcr.io, and ircbc compute nodes have no internet, so the pull and the remote digest check can only happen on the login node — by necessity, not convenience. The build, the smoke test, and every actual use of an image are compute-node work. The whole Slurm client (`squeue`, `sbatch`, `scancel`, `srun`) runs on ircbc compute nodes, so if you already hold a node, submit from there rather than hopping back. `$LIU_LAB_PACKAGES` lives on `/share` and is readable from both, so only the network fetch is login-bound. ## Version check first — never rebuild blindly Each SIF carries a sidecar recording the digest it was built from: `liulab-runtime_<env>.sif.digest`. List the store instead of assuming what exists, then compare local against remote: ```bash ssh ircbc 'ls -lh $LIU_LAB_PACKAGES/liulab-runtime_*.sif* 2>/dev/null; \ echo "local: $(cat $LIU_LAB_PACKAGES/liulab-runtime_<env>.sif.digest 2>/dev/null || echo none)"; \ echo "remote: $($LIU_LAB_PACKAGES/bin/crane digest ghcr.io/liuhlab/liulab-runtime:<env>)"' ``` - **Digests match** → up to date. Do not rebuild; go use it. - **Digests differ** → show the user the SIF's build date and both digests, and **ask** whether to keep the local image or update. - **No SIF for that env** → update, pinning the remote digest just printed. Env names such as `ml`, `align-rna` and `align-dna` are examples, not a catalogue — the `ls -lh` above is the authority on what is actually built and how much space each image takes. These are shared lab images: never delete or overwrite someone else's without asking, keep the store group-writable (dirs carry setgid), and mind the shared disk before building another SIF. ## Where the rest lives - `references/update-image.md` — pull the tarball, build the SIF, smoke-test it, write the sidecar. - `references/using-images.md` — run a command, open an interactive pixi-env shell, start Jupyter.
From liuhlab/liulab-skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 2
- Last commit (this folder)
- Oct 12, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/liuhlab/liulab-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Diagnosis loop for hard bugs and performance regressions.
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Cite this page
lab-containers skill. Agent Mart. https://agentmart.dev/skills/liuhlab-lab-containers (last updated 2026-10-24)