mlflow SKILL.md skillB
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
mlflow from yichen-zju/claude-for-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yichen-zju/claude-for-research/mlflow@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yichen-zju/claude-for-research
- Path
claude/skills/mlflow/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 14, 2026
- Size
- 15,599 bytes
- Repository stars
- 10
- License
- none declared
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform.
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
# MLflow: ML Lifecycle Management Platform
## When to Use This Skill
Use MLflow when you need to:
- **Track ML experiments** with parameters, metrics, and artifacts
- **Manage model registry** with versioning and stage transitions
- **Deploy models** to various platforms (local, cloud, serving)
- **Reproduce experiments** with project configurations
- **Compare model versions** and performance metrics
- **Collaborate** on ML projects with team workflows
- **Integrate** with any ML framework (framework-agnostic)
**Users**: 20,000+ organizations | **GitHub Stars**: 23k+ | **License**: Apache 2.0
## Installation
```bash
# Install MLflow
pip install mlflow
# Install with extras
pip install mlflow[extras] # Includes SQLAlchemy, boto3, etc.
# Start MLflow UI
mlflow ui
# Access at http://localhost:5000
```
## Quick Start
### Basic Tracking
```python
import mlflow
# Start a run
with mlflow.start_run():
# Log parameters
mlflow.log_param("learning_rate", 0.001)
mlflow.log_param("batch_size", 32)
# Your training code
model = train_model()
# Log metrics
mlflow.log_metric("train_loss", 0.15)
mlflow.log_metric("val_accuracy", 0.92)
# Log model
…Read the whole file at its exact version.
How to install
mdr add yichen-zju/claude-for-research/mlflow@sha256:36d2581f7d8beb8bThe 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_rlww4tcodgwhprav)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:5001)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15599 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 script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
yichen-zju/claude-for-research · 10 stars · license none declared · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rlww4tcodgwhprav GET https://markdownregistry.com/api/v1/resolve?ref=yichen-zju/claude-for-research/mlflow GET https://markdownregistry.com/api/v1/blob/36d2581f7d8beb8b27f66bbef5c94df7e9604b917c3aa15e4183a48a2b1f3f96
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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