yolo-training SKILL.md skillA
yolo-training from fcakyon/claude-codex-settings is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fcakyon/claude-codex-settings/yolo-training@git:20260804.a859519Pins git:20260804.a859519 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fcakyon/claude-codex-settings
- Path
plugins/ultralytics-dev/skills/yolo-training/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260804.a859519, committed Aug 4, 2026
- First version recorded
- Aug 4, 2026
- Size
- 5,560 bytes
- Repository stars
- 1,200
- License
- Apache-2.0
This skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.
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
# YOLO26 training Read the run before changing anything. The `results.csv` and confusion matrix usually name the problem already. ## Order of operations Ordered by cost to try, cheapest first, not by size of the potential win. 1. **Epochs and schedule.** Undertrained looks like every other problem, and it costs nothing but time to rule out. 2. **Augmentation.** The knob for the generalization gap, at no extra compute per epoch. 3. **Loss weights and LR.** Cheap, and the curves usually say which one is wrong. 4. **Model size.** Scale up when train loss is still falling at the end of the schedule and the train and val curves sit close together. That is underfitting, and it is the only case a bigger model reliably fixes. 5. **Resolution.** Compute scales with the square of `imgsz`, so 640 to 1280 is roughly 4x the training budget, and pretrained weights transfer worse the further you move from the size they were fit at. Justify it with the object sizes in your data, not as a default first move. 6. **Data**, label quality and class balance. The highest ceiling and the slowest to move. The …
Read the whole file at its exact version.
How to install
mdr add fcakyon/claude-codex-settings/yolo-training@sha256:583bc50d6995dc12The line at the top of this page pins the label git:20260804.a859519, 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_cb5rwkbryhmybvci)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Aug 4, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260804.a859519 latest | 2026-08-04 | a859519 | 5,560 B | A | view · diff |
| git:20260804.20eb63f | 2026-08-04 | 20eb63f | 5,720 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 (5560 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
fcakyon/claude-codex-settings · 1,200 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cb5rwkbryhmybvci GET https://markdownregistry.com/api/v1/resolve?ref=fcakyon/claude-codex-settings/yolo-training GET https://markdownregistry.com/api/v1/blob/583bc50d6995dc123827954fe2730cb570fcaafed092a0f29572d89d8351444f
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.
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