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Validate Data

ASecurity

Apply 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.

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  • Added September 26, 2026
ai-agentsapi

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  • api

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Pro scans all 2 files and shows the line behind each finding

Scanned September 26, 2026

npx -y skills add sandbaseai/sandbase-skills --skill validate-data --agent claude-code

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SKILL.md
---
name: validate-data
description: "Apply 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."
---

# Validate Data

Use this Skill to produce a bounded, verifiable Validate Data outcome. Preserve the user's chosen stack, source material, and authorization boundaries.

Read [the SandBase API map](references/sandbase-api-map.md) only when the task genuinely needs an external data source or generative model.

## Workflow

1. Inspect the available files, runtime, versions, inputs, and existing conventions before deciding what to change.
2. Restate the requested outcome, constraints, acceptance checks, and any assumption that could change the result.
3. Produce the smallest complete implementation, analysis, or artifact that satisfies those checks.
4. Verify the real output with appropriate tests, previews, calculations, or source comparison; do not infer success from file creation alone.
5. Return the deliverable, evidence of validation, material assumptions, and unresolved limitations.

## Quality gates

- Inspect shapes, types, units, missing values, sampling, target leakage, and train/test boundaries before modeling or transformation.
- Pin or record relevant library versions, random seeds, parameters, and environment assumptions for reproducibility.
- Validate against a baseline or independent calculation and report diagnostics, uncertainty, failure modes, and resource use.
- Define measurable acceptance criteria before evaluation, retain counterexamples and uncertainty, and do not collapse important failures into an average score.

## SandBase boundary

Keep the core Validate Data work local. Use SandBase only for an explicitly requested external dataset or model inference step that is not part of the local analysis.

1. Call `sandbase_discover` with a short capability query.
2. Call `sandbase_inspect` for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.
3. Prefer a dedicated tool or API the user already has. Send only the minimum necessary data.
4. Before any paid call, show the endpoint, important arguments, current unit price, call count, and total estimate or uncertainty, then obtain confirmation.
5. Use `sandbase_account` before an approved multi-call batch and call `sandbase_run` only with current schema-defined arguments.
6. Poll asynchronous work with `sandbase_run_get` using the same run ID; never resubmit merely because it is pending.
7. Use `sandbase_runs` only to recover status or reconcile observed cost.

If SandBase is unavailable, continue with local work and authorized sources when possible. Do not silently switch providers, fabricate external results, or claim a generation or retrieval succeeded.

## Handoff

Provide the completed artifact or findings, concise reproduction steps, checks actually run, source or asset provenance, SandBase endpoint and run IDs when used, observed cost when available, and any follow-up that still requires user action.

Files in this skill

  • SKILL.md3 KB
  • references/sandbase-api-map.md1.3 KB

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