phase-3-full-model-validation
phase-3-full-model-validation is an MLOps & model serving skill for AI agents, published by Xilinx in the mlir-air repository on GitHub. Skillspace rates phase-3-full-model-validation D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Phase 3 of LLM deployment — wire all N layers and verify NPU matches the HF bf16 reference end-to-end (per-layer cosine via the shared `programming_examples/llms/verify/` diagnosis lens + token-level top-5 set-inclusion via its token-set gate) at canonical prompts. Catches accumulated drift, KV cache bugs, layer-indexed weight loading errors. Invoked after Phase 2 gate.
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 142
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, so go by its current files.
Our review
- Architecture
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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