ml4t-tearsheet skillA
ml4t-tearsheet is agent-read markdown (skill) from ml4t/skills: Generate comprehensive performance reports from backtest returns. Use when summarizing backtest results for review or comparison..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Strategy Tearsheet
A single metric hides more than it reveals. A tearsheet shows cumulative returns, drawdowns, rolling Sharpe, monthly heatmap, and a metrics table - exposing regime dependence, tail risk, and decay that one number cannot.
## The Problem
Reporting only Sharpe ratio misses critical failure modes. A Sharpe of 1.5 could come from steady 10 bps/day or from one massive gain followed by slow bleed. Max drawdown reveals survival risk. Rolling Sharpe reveals whether alpha is decaying. Monthly returns reveal seasonality. You need all of them.
## The Pattern
### WRONG
```python
# Single number - hides everything important
sharpe = returns.mean() / returns.std() * np.sqrt(252)
print(f"Sharpe: {sharpe:.2f}") # "Looks great!" - but is the strategy dying?
```
### CORRECT
```python
import numpy as np
import matplotlib.pyplot as plt
def tearsheet(returns: np.ndarray, periods: int = 252):
"""Minimal tearsheet: 4 panels + metrics table."""
cum = (1 + returns).cumprod()
peak = np.maximum.accumulate(cum)
dd = (cum - peak) / peak
# Key metrics
sharpe = returns.mean() / returns.std() * np.sqrt(periods)
max_dd = dd.min()
…Read the whole file at its exact version.
How to install
mdr add ml4t/skills/ml4t-tearsheet@git:20260901.32123e7mdr add ml4t/skills/ml4t-tearsheet@sha256:dc409793ec913bfaPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_xlld5cxc2ule6g27)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260901.32123e7 latest | 2026-09-01 | 32123e7 | 4,195 B | A | view · diff |
| git:20260901.c415df0 | 2026-09-01 | c415df0 | 4,099 B | A | view · diff |
| git:20260528.303089e | 2026-05-28 | 303089e | 4,107 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 (4195 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 · 19 stars · license Apache-2.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xlld5cxc2ule6g27 GET https://markdownregistry.com/api/v1/resolve?ref=ml4t/skills/ml4t-tearsheet GET https://markdownregistry.com/api/v1/blob/dc409793ec913bfae569dad7ce9ffdca67b10969bada661d7c5e6b7b821d37f5
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