training-data

ericrisco/rsc-harness

SkillLoads cleanly

Use when assembling or curating the corpus a fine-tune trains on — turning raw examples into the JSONL shape a trainer expects (instruction, conversational,…

Scores
out of 100 · grade A

2026-08-23

Works

40% of the score

100/100

Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

100/100

no commits in the last 12 weeks

Adopted

20% of the score

24/100

54 stars on the source repo.

Documented

15% of the score

90/100

1,920 words with worked examples.
Ships 4 bundled files.

Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit today.

Install

npx skills add ericrisco/rsc-harness/training-data

What it says it does

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`).

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-22.

Also in ericrisco/rsc-harness

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ab-testingericrisco/rsc-harness	clean	Skill	54 stars	today
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adsericrisco/rsc-harness	clean	Skill	54 stars	today
agent-evalericrisco/rsc-harness	clean	Skill	54 stars	today
ai-mediaericrisco/rsc-harness	clean	Skill	54 stars	today
analyticsericrisco/rsc-harness	clean	Skill	54 stars	today

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