llm-dna-extraction-playbook
llm-dna-extraction-playbook is an MLOps & model serving skill for AI agents, published by serithemage in the korea-ai-foundation-model-verification repository on GitHub. Skillspace rates llm-dna-extraction-playbook D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use when planning, submitting, or debugging LLM-DNA fingerprint extraction jobs on SageMaker spot training. Trigger on keywords like "LLM-DNA jobs", "calc-dna", "submit_dna.py", "SageMaker spot", "Solar / K-EXAONE / A.X-K1 / EXAONE 추출", "Phase 5/6 재시도", "model fingerprint extraction", or follow-up verification rounds. Codifies 9 cost/operational lessons from Phase 4–6 of korea-ai-foundation-model-verification (2026-04-30, $64 / 77 jobs, 52.8% waste rate) so future rounds avoid the same learning curve.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 49
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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