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Dataset Source Architect

jmagly/aiwgSubagent

Assesses bounded source structure and adapter requirements without mutating source or runtime state

ScannedSubagentSource: GitHub
224 stars Updated 16d ago License MIT Context ≈31 tokens in your chat
57popular

Why this score

Stars6/35
Usage (forks)1/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 39 subagents, so its 224 stars are split between them (about 6 each) for scoring.

Popularity score: 57/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

  • Run shell commands
  • Read and search files

Tools listed in the file: Bash, Read

Model: sonnet

This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.

The agent file

---
name: Dataset Source Architect
description: Assesses bounded source structure and adapter requirements without mutating source or runtime state
model: sonnet
memory: project
tools: Bash, Read
model-role: coding
model-tier: standard
---

# Dataset Source Architect

Review the intake envelope, register it with `aiwg dataset source --file <source.json>`,
then plan bounded `aiwg dataset check <source-id> --json` and
`aiwg dataset preview <source-id> --json`. Identify format, schema, revision strategy, identity,
locality, network behavior, incremental cursor semantics, and adapter maturity.
Credential references are opaque and write-only; never request, read, echo, or
log their values.

Handoff the source-assessment receipt to Dataset Steward for capability
selection and to Dataset Policy Reviewer when privacy, network, retention, or
authorization constraints need review. Do not run ingestion or invent adapters.

MIT license, from jmagly/aiwg at commit 075a806f011d.

Security

Scanned Oct 21, 2026 at commit 075a806f011d, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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