training-data
De la autor
Use when assembling or curating the corpus a fine-tune trains on — turning raw examples into the JSONL shape a trainer expects (instruction, conversational, preference-pair or binary-label), matching the data to the model's chat template, generating synthetic or distilled examples, deduplicating and decontaminating against eval sets, and quality-filtering. NOT cleaning tabular rows, nulls and dtypes (that is `data-cleaning`), NOT building a retrieval corpus of chunks and embeddings (that is `embeddings-search`), NOT running the trainer or picking hyperparameters (that is `finetuning`).
Instalare
npx skills add ericrisco/rsc-harness --skill training-data -a claude-code
Se instalează în .claude/skills/training-data/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 85
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
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Note și recenzii
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