spark-memory-thermal-ops SKILL.md skillA
spark-memory-thermal-ops from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wshobson/agents/spark-memory-thermal-ops@git:20260714.baa5bd7Pins git:20260714.baa5bd7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wshobson/agents
- Path
plugins/dgx-spark-ops/skills/spark-memory-thermal-ops/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.baa5bd7, committed Jul 14, 2026
- Size
- 7,980 bytes
- Repository stars
- 42,320
- License
- MIT
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Spark Memory & Thermal Ops DGX Spark's GB10 chip has one 128GB unified memory (UMA) pool shared by CPU and GPU, and a sustained power ceiling well below its rated figure. Both break discrete-GPU assumptions: headroom isn't what `nvidia-smi` reports, and a run that starts fast will slow down mid-job with nothing misconfigured. This skill covers planning memory headroom, working an actual OOM, and watching thermals across a long job. For launch-time failure modes (ABI mismatches, flash-attn, playbook breakage), see `spark-training-gotchas` — this skill assumes the job starts. ## Common Issues Quick Reference | Situation | Do this | |---|---| | Planning headroom before launch | Budget against `free -g`, not `nvidia-smi` — see UMA Memory Model | | Job OOMs on unified memory | Work the OOM Ladder in order: flush, then batch/pack, then method downgrade | | Throughput drops mid-run | Check the power/temp log before assuming a config bug — see Thermal Monitoring | | Trainer + inference server both wanted | Run one at a time — see Concurrent Workloads | ## When to Use This Skill - Sizing a training run against the 128GB pool before launch — will this model, method, and …
Read the whole file at its exact version.
How to install
mdr add wshobson/agents/spark-memory-thermal-ops@sha256:7b3e8184ac1c5610The line at the top of this page pins the label git:20260714.baa5bd7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fcdygpm2i2bcuezk)
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Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
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- pass: No link to an exfiltration or paste host
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- pass: No instruction to send local credentials anywhere
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Source
wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fcdygpm2i2bcuezk GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/spark-memory-thermal-ops GET https://markdownregistry.com/api/v1/blob/7b3e8184ac1c5610e31d04f76aa6f292349704beaf79b10324453bebc62bd7ac
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.