model-deployment SKILL.md skillA
model-deployment from secondsky/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add secondsky/claude-skills/model-deployment@git:20260803.3c09f87Pins git:20260803.3c09f87 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- secondsky/claude-skills
- Path
plugins/model-deployment/skills/model-deployment/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260803.3c09f87, committed Aug 3, 2026
- First version recorded
- Dec 24, 2025
- Size
- 9,582 bytes
- Repository stars
- 247
- License
- MIT
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
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
# ML Model Deployment
Deploy trained models to production with proper serving and monitoring.
## Deployment Options
| Method | Use Case | Latency |
|--------|----------|---------|
| REST API | Web services | Medium |
| Batch | Large-scale processing | N/A |
| Streaming | Real-time | Low |
| Edge | On-device | Very low |
## FastAPI Model Server
```python
from fastapi import FastAPI
from pydantic import BaseModel
import joblib
import numpy as np
app = FastAPI()
model = joblib.load('model.pkl')
class PredictionRequest(BaseModel):
features: list[float]
class PredictionResponse(BaseModel):
prediction: float
probability: float
@app.get('/health')
def health():
return {'status': 'healthy'}
@app.post('/predict', response_model=PredictionResponse)
def predict(request: PredictionRequest):
features = np.array(request.features).reshape(1, -1)
prediction = model.predict(features)[0]
probability = model.predict_proba(features)[0].max()
return PredictionResponse(prediction=prediction, probability=probability)
```
## Docker Deployment
```dockerfile
FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
…Read the whole file at its exact version.
How to install
mdr add secondsky/claude-skills/model-deployment@sha256:eb88564f65bb2e8fThe line at the top of this page pins the label git:20260803.3c09f87, 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_6y6jnbthpwx5ymbd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 24, 2025 and Aug 3, 2026, about one every 111 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260803.3c09f87 latest | 2026-08-03 | 3c09f87 | 9,582 B | A | view · diff |
| git:20260402.89c5e89 | 2026-04-02 | 89c5e89 | 9,582 B | A | view · diff |
| git:20251224.ba827ce | 2025-12-24 | ba827ce | 9,568 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 (9582 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
secondsky/claude-skills · 247 stars · license MIT · pushed 2026-10-31 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6y6jnbthpwx5ymbd GET https://markdownregistry.com/api/v1/resolve?ref=secondsky/claude-skills/model-deployment GET https://markdownregistry.com/api/v1/blob/eb88564f65bb2e8f612d25d977637543f0493b53cd2161b56a5331c585a570aa
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.