version-dataset
De la autor
Use when you must prove an analysis ran on the intended data or lock a dataset version. Builds a deterministic content-hash manifest (file SHA-256, schema, per-column value hashes), verifies later copies against it for drift, and diffs two manifests.
Instalare
npx skills add Aperivue/medsci-skills --skill version-dataset -a claude-code
Se instalează în .claude/skills/version-dataset/ · 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
- Include scripturi pe care nu le-am verificatScăzut
De ce 80
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- data-qualitynahid-sparktales/agent-dispatcherDecide what must be true of a dataset and where that assertion belongs — freshness against event time, volume floors and bands, distribution and referential checks, source reconciliation, and whether it should be a schema constraint, a blocking publish gate or an alert. Use when adding or reviewing data checks, when a wrong number reached a consumer and nothing caught it, or when a check fires so often it is being ignored. Not for proving a specific migration did what it claimed (database-migration-verification), not for building the pipeline itself (data-pipelines), and not for interpreting what the numbers mean.Date★ 59
- validate-datasandbaseai/sandbase-skillsApply validate data in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses validate data or its strengths fit the task.Productivitate★ 203
- data-analysisnahid-sparktales/agent-dispatcherGet a defensible answer out of a dataset — grain and denominators pinned, missing data accounted for, aggregates checked against their segments, and every number reproducible from raw input by a script. Use when asked what a dataset shows, when a number needs explaining or two numbers disagree, or before any finding from data is reported to someone who will act on it. Not for defining product metrics or instrumentation, not for building the pipeline that produced the data, and not for designing an experiment.Date★ 59
- data-visualizationsandbaseai/sandbase-skillsApply data visualization in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses data visualization or its strengths fit the task.Productivitate★ 203
- vaexsandbaseai/sandbase-skillsApply vaex in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses vaex or its strengths fit the task.Productivitate★ 203
- dataset-evaluationawslabs/agent-pluginsValidates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file format, checks schema compliance against the selected model and technique, and reports whether the data is ready for training or evaluation.Juridic★ 932
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