mkl-debug-ml-training SKILL.md skillA
mkl-debug-ml-training from 00200200/maintainer-skills-lab is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add 00200200/maintainer-skills-lab/mkl-debug-ml-training@git:20261016.4de5604Pins git:20261016.4de5604 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- 00200200/maintainer-skills-lab
- Path
providers/gemini/.gemini/antigravity/skills/mkl-debug-ml-training/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261016.4de5604, committed Oct 16, 2026
- First version recorded
- Sep 30, 2026
- Size
- 3,997 bytes
- Repository stars
- 48
- License
- MIT
Investigate training failures, NaNs, missing gradients, misleading losses, and non-reproducible runs in PyTorch, Lightning, or TensorFlow/Keras. Use for concrete training bugs, not open-ended architecture or hyperparameter search.
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
# Debug a training run Turn the reported symptom into an observable failure on a bounded input. Preserve the user's framework, backend, and intended training semantics. A CPU or eager-mode reproduction can isolate a bug, but does not establish what happens on the original accelerator, compiled graph, or distributed setup. ## Establish the failing boundary Record the command, revision, Python/framework versions, imported package paths, device, dtype, precision, and execution mode. For resume or reproducibility issues, include data order, seed handling, checkpoint, optimizer, scheduler, and scaler state. Classify dependency failures separately from training bugs. Reduce to a fixed batch while retaining shapes, label semantics, masks, and value ranges. Inspect tensors entering the loss: class indices, probability targets, and scalar targets have distinct contracts. Avoid blanket reshapes or squeezes that mask errors. Example: scalar predictions of shape `[N, 1]` minus labels `[N]` produce `[N, N]` residuals via broadcasting. Aligning scalar labels to `[N, 1]` fixes the residual calculation. …
Read the whole file at its exact version.
How to install
mdr add 00200200/maintainer-skills-lab/mkl-debug-ml-training@sha256:2e2079488a23f8baThe line at the top of this page pins the label git:20261016.4de5604, 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_aidvduqo7elg5m4g)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 30, 2026 and Oct 16, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.4de5604 latest | 2026-10-16 | 4de5604 | 3,997 B | A | view · diff |
| git:20261016.efc5ceb | 2026-10-16 | efc5ceb | 7,660 B | A | view · diff |
| git:20261007.b098ce2 | 2026-10-07 | b098ce2 | 7,593 B | A | view · diff |
| git:20260930.a7f0280 | 2026-09-30 | a7f0280 | 5,647 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 (3997 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
00200200/maintainer-skills-lab · 48 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aidvduqo7elg5m4g GET https://markdownregistry.com/api/v1/resolve?ref=00200200/maintainer-skills-lab/mkl-debug-ml-training GET https://markdownregistry.com/api/v1/blob/2e2079488a23f8ba514dd105db00bd9e3aa48ccd397bdbd720f3b405cd3979a8
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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