build-tpu-image-iris

build-tpu-image-iris is an MLOps & model serving skill for AI agents, published by open-thoughts in the OpenThoughts-Agent repository on GitHub. Skillspace rates build-tpu-image-iris F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Build + push the datagen/eval TPU image (`ghcr.io/open-thoughts/openthoughts-agent:tpu`) — the Iris TPU runtime (vLLM-TPU 0.20.0 PyTorch/XLA+JAX + Harbor + the Daytona sandbox backend) — AS AN IRIS KANIKO JOB on CoreWeave `cw-us-east-02a` (a CPU-only amd64 build; NO CUDA/nvcc, so it's minutes not hours, and the Mac CANNOT build it — arm64 + linux/amd64-only). Covers WHY kaniko not buildkit (shared with the gpu-rl skill), the crane-export-over-ubuntu recipe, and — the load-bearing lesson this skill exists for — how to make a canonical fast-moving dep (Harbor, our `marin-community/harbor` fork on `penfever/working`) ACTUALLY reach the worker: the RUNTIME gate is OT-Agent's `uv.lock` (the iris worker `uv sync --frozen --reinstall`s from it, OVERWRITING the image bake) — so deploying a harbor change is a `uv lock --upgrade-package harbor` + commit, NOT (only) an image rebuild; the Dockerfile `HARBOR_COMMIT` + `--force-reinstall` pin is a secondary image-consistency measure. VERIFY by…

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
259

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

View source on GitHubopen-thoughts/OpenThoughts-Agent

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • base64 decode (possible obfuscation)
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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