training-data-annotation SKILL.md skillA
training-data-annotation from magnus919/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add magnus919/agent-skills/training-data-annotation@git:20260914.347c1d3Pins git:20260914.347c1d3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- magnus919/agent-skills
- Path
training-data-annotation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260914.347c1d3, committed Sep 14, 2026
- Size
- 5,494 bytes
- Repository stars
- 166
- License
- MIT
Design and improve human annotation programs for machine-learning training, validation, and evaluation data, including task and label schemas, active acquisition, annotator guidance, calibration, disagreement, adjudication, provenance, and cost-quality stopping. Do not use for general statistical inference, data storage pipelines, model training, or annotation-interface implementation; route those concerns to data-scientist, data-engineering, ml-engineering, or product-design-and-ux.
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
# Training Data Annotation Treat annotation as a measurement system and a human workflow. The objective is useful, auditable labels for a defined downstream decision, not the largest possible label count. ## Workflow 1. Define the downstream task, population, label unit, label set, edge cases, abstention label, and what constitutes an unusable item. Separate training, validation, held-out evaluation, and challenge data before sampling. 2. Write an annotation guide with positive and negative examples, boundary rules, source requirements, escalation, and a change log. Have domain owners approve consequential definitions. 3. Establish provenance and rights: source, collection time, license/consent, transformations, sensitive fields, access, retention/deletion, and dataset version. Do not move data into a labeling system until this record is clear. 4. Acquire items using a declared mix of representative sampling and targeted acquisition. Uncertainty finds confusing items; diversity and novelty find gaps; stratification protects rare or high-risk slices. Keep acquisition batches identifiable and retain a representative held-out audit sample. …
Read the whole file at its exact version.
How to install
mdr add magnus919/agent-skills/training-data-annotation@sha256:c1fa2d0ab64f8aa4The line at the top of this page pins the label git:20260914.347c1d3, 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_pwitniqn7xexhyxs)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 14, 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 (5494 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
magnus919/agent-skills · 166 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pwitniqn7xexhyxs GET https://markdownregistry.com/api/v1/resolve?ref=magnus919/agent-skills/training-data-annotation GET https://markdownregistry.com/api/v1/blob/c1fa2d0ab64f8aa48e728d2cc2fc61d8f6426581f820ba3bf6037a5b8f7e092a
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.