dataset-plan-review SKILL.md skillA
dataset-plan-review from jmagly/aiwg is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jmagly/aiwg/dataset-plan-review@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jmagly/aiwg
- Path
agentic/code/addons/dataset-intelligence/skills/dataset-plan-review/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Sep 3, 2026
- Size
- 987 bytes
- Repository stars
- 229
- License
- MIT
Review an immutable dataset plan, impacts, capability degradation, and approval requirements before execution.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Dataset Plan Review Use `aiwg dataset show <plan-ref> --json` and verify its digest, schemas, capability negotiation, artifact classes, estimated reads/writes, privacy, locality, network access, retention, authorization references, fallback, and rollback/reconciliation behavior. A preview is not execution authority. Policy-sensitive writes require Dataset Policy Reviewer approval scoped to the exact plan digest. Retirement additionally requires complete enumeration and a reviewed bulk threshold. Emit a `dataset-workflow-handoff/v1` approval or rejection reference; never execute the plan here.
Read the whole file at its exact version.
How to install
mdr add jmagly/aiwg/dataset-plan-review@sha256:c0e3c4b88e482085The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2bvh4opeehd6qlff)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 3, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (987 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jmagly/aiwg · 229 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2bvh4opeehd6qlff GET https://markdownregistry.com/api/v1/resolve?ref=jmagly/aiwg/dataset-plan-review GET https://markdownregistry.com/api/v1/blob/c0e3c4b88e482085b3c6ca0bac7c93e2249e392f1d1e15927247eade752d1966
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.