label-training-data SKILL.md skillA
label-training-data from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pjt222/agent-almanac/label-training-data@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pjt222/agent-almanac
- Path
i18n/caveman-lite/skills/label-training-data/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Aug 17, 2026
- First version recorded
- Apr 19, 2026
- Size
- 8,444 bytes
- Repository stars
- 43
- License
- MIT
Set up systematic data labeling workflows using Label Studio or similar tools. Implement quality controls, measure inter-annotator agreement, manage labeler teams, and integrate labeled data into ML training pipelines. Use when starting a supervised ML project that requires labeled training data, when model performance is limited by insufficient labeled examples, when labeling text, images, audio, or video, or when implementing active learning to prioritize the most valuable examples.
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
# Label Training Data > See [Extended Examples](references/EXAMPLES.md) for complete configuration files and templates. Systematically label data for supervised ML with quality controls and efficient workflows. ## When to Use - Starting supervised ML project that requires labeled training data - Current model performance limited by insufficient labeled examples - Need to label text, images, audio, or video data - Want to measure and improve annotation quality - Managing team of annotators with different expertise levels - Implementing active learning to prioritize valuable examples - Need to track labeling progress and costs - Ensuring consistent labels across multiple annotators ## Inputs - **Required**: Unlabeled dataset (images, text, audio, video) - **Required**: Label schema (classes, attributes, or annotation types) - **Required**: Labeling guidelines document - **Optional**: Pre-existing labels (for quality comparison) - **Optional**: Model predictions for pre-annotation - **Optional**: Budget and timeline constraints - **Optional**: Domain expert availability for difficult examples ## Procedure ### Step 1: Install and Configure Label Studio …
Read the whole file at its exact version.
How to install
mdr add pjt222/agent-almanac/label-training-data@sha256:2a267e784f1a6feaThe line at the top of this page pins the label v1.0, 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_3q737jinklla3skk)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 60 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-08-17 | a784899 | 8,444 B | A | view · diff |
| v1.0 | 2026-04-26 | f5b501b | 8,415 B | A | view · diff |
| v1.0 | 2026-04-19 | e334ebd | 8,470 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 (8444 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
pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3q737jinklla3skk GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/label-training-data GET https://markdownregistry.com/api/v1/blob/2a267e784f1a6feacc153ee5ca804cd9630a08bb24f774a96c59db0b0193b13b
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.