jdaln/dgx-spark-inference-stack/stack-checks
Claude Code and agent skill by jdaln/dgx-spark-inference-stack
- community
Checking that the SKILL.md file is still in the repository.
The checks to run before committing changes to compose fragments, models.json, request-validator, waker, shared/ or tools/ in this repo. Use after any such edit and before reporting it done.
Install
npx vskill@latest install jdaln/dgx-spark-inference-stack/stack-checksSKILL.md
Stack checks
Every check must leave its result in a file under tmp/, so it can be read after the run. Save console output with tee, which runs on the host:
tee hides the exit code: read the log. A failure shows as FAIL, not ok, or a non-zero # fail count.
Offline
No GPU or running stack needed. CI runs the same set.
If you changed a file the soak bundle embeds (request-validator/index.js, waker/index.js, shared/models-config.mjs, gateway.conf), first run bash tools/build-soak-bundle.sh.
validate-stack.sh also runs check-models.sh and the soak bundle check.
Live, with the stack up
Host or container
Scripts that drive Docker run on the host: validate-stack, check-*, download-weights, run-model, run-variant, inspect-model, test-lane, smoke-* and bench-lane. Everything else runs in a container: unit tests and the bench self-test in node:20-alpine, the context soak in node:22-bookworm (it needs curl). Python never runs on the host.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/stack-checks/SKILL.md
Popularity
- 7-day trend score
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