dataset-ingest SKILL.md skillA
dataset-ingest 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-ingest@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-ingest/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Sep 3, 2026
- First version recorded
- Sep 3, 2026
- Size
- 1,129 bytes
- Repository stars
- 229
- License
- MIT
Delegate approved one-shot or incremental dataset execution to the shared orchestration service with resumable receipts.
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 Ingest Require the approved immutable plan reference and matching approval reference. Delegate only through `aiwg dataset ingest <plan-id> --digest <plan-digest> --idempotency-key <key> --json`, adding only reviewed `--approve` and reconciliation bindings. For an incremental continuation, use `retry <run-id>` when the orchestration service reports the run retryable; never decode or advance a cursor here. Surface run ID, status, cancellation affordance, prior and new committed checkpoint references, rejections, degraded behavior, and receipt reference. Cancellation must preserve the last committed checkpoint. Hand the run/receipt references to `dataset-verify` and, when requested, `dataset-trace`.
Read the whole file at its exact version.
How to install
mdr add jmagly/aiwg/dataset-ingest@sha256:ca6025578caae0f7The 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_mluph3zm4agd6exe)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Sep 3, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-03 | 10cd92c | 1,129 B | A | view · diff |
| v1.0.0 | 2026-09-03 | 50ae697 | 1,036 B | A | view |
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 (1129 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_mluph3zm4agd6exe GET https://markdownregistry.com/api/v1/resolve?ref=jmagly/aiwg/dataset-ingest GET https://markdownregistry.com/api/v1/blob/ca6025578caae0f751a2f39f3510edba66f1d6caf2c41b51024a09814ffc2a22
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.