ml4t-production-readiness SKILL.md skillA
ml4t-production-readiness from ml4t/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ml4t/skills/ml4t-production-readiness@git:20260901.297789fPins git:20260901.297789f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ml4t/skills
- Path
workflows/production-readiness/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260901.297789f, committed Sep 1, 2026
- First version recorded
- May 28, 2026
- Size
- 5,857 bytes
- Repository stars
- 41
- License
- Apache-2.0
Pre-deployment checklist covering data pipelines, risk limits, monitoring, and governance. Use when preparing to go live with a new strategy or model.
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
# Production Readiness
A validated backtest is not a production system. The gap between "model works" and "strategy can run unattended with real money" requires infrastructure that most teams skip until the first incident.
## The Problem
A team deploys a model that passed validation. On day three, the data vendor has an outage. The model receives stale prices, generates signals, and the execution system submits orders on bad data. There is no kill switch, no staleness check, no alert. By the time someone notices, the strategy has lost two months of expected returns in a single session. Every production failure traces back to missing infrastructure, not bad models.
## The Pattern
### WRONG
```python
# Model works in backtest - deploy directly
import pickle
from broker_api import submit_orders
model = pickle.load(open("best_model.pkl", "rb"))
data = fetch_latest_data()
signals = model.predict(data)
orders = signals_to_orders(signals)
for order in orders:
submit_orders(order) # No limits, no monitoring, no kill switch
```
### CORRECT
```python
# Five infrastructure layers before any live order
import datetime as dt
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-production-readiness@sha256:56d9e3792568120eThe line at the top of this page pins the label git:20260901.297789f, 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_4irytoodfsqyj45h)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 28, 2026 and Sep 1, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.297789f latest | 2026-09-01 | 297789f | 5,857 B | A | view · diff |
| git:20260901.4a67198 | 2026-09-01 | 4a67198 | 5,830 B | A | view · diff |
| git:20260901.85fc79b | 2026-09-01 | 85fc79b | 5,811 B | A | view · diff |
| git:20260901.c415df0 | 2026-09-01 | c415df0 | 5,747 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 5,761 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 (5857 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
ml4t/skills · 41 stars · license Apache-2.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4irytoodfsqyj45h GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-production-readiness GET https://markdownregistry.com/api/v1/blob/56d9e3792568120ec7e7eae997d1d8da20f3dc1fa0ffac016653fc6bdb0e0dfd
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.