/dataset-source-assess

Plan and review a bounded, non-mutating dataset source check and redacted preview.

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jmagly@jmagly

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aiwg

213200 skills199 agents26 commands

Install

$ npx -y skills add jmagly/aiwg --skill dataset-source-assess --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/dataset-source-assess

Context preview

The summary Claude sees to decide when to auto-load this skill.

Plan and review a bounded, non-mutating dataset source check and redacted preview.

SKILL.md

dataset-source-assess.SKILL.md

namespace: aiwg
name: dataset-source-assess
description: Plan and review a bounded, non-mutating dataset source check and redacted preview.
version: 1.0.0
platforms: [all]
aliases: [source check, data source assessment, connector assessment]
triggers: [check this data source, preview these files, assess this API source, inspect dataset shape, can AIWG read this source]

Dataset Source Assessment

Consume a registered source reference. Propose `aiwg dataset check <source-id> --json` and `aiwg dataset preview <source-id> --json`; these operations must remain bounded, side-effect free, and redacted. Explain adapter/version, schema binding, identity and revision strategy, incremental cursor support, locality/network behavior, and evidence-backed maturity.

Never inspect credential or environment values. Distinguish absent, stale, unverified, unsupported, and degraded capability states. Emit an assessment reference for `dataset-capability-recommend`.

Read it on GitHub ↗

Ships withaiwg

Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.

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