manifoldbt-backtester SKILL.md skillA
manifoldbt-backtester from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tradermonty/claude-trading-skills/manifoldbt-backtester@git:20261106.d13ec56Pins git:20261106.d13ec56 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tradermonty/claude-trading-skills
- Path
skills/manifoldbt-backtester/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261106.d13ec56, committed Nov 6, 2026
- First version recorded
- Aug 29, 2026
- Size
- 6,335 bytes
- Repository stars
- 3,682
- License
- MIT
Runs a declarative strategy spec over OHLCV bars with the manifoldbt Rust engine, pairs the fill log into round trips, and emits the eight inputs the backtest-expert skill scores. Use when the user wants to execute a backtest, measure a rule they have described, obtain win rate / average win / average loss / max drawdown from real bars, or feed backtest-expert with measured numbers instead of estimates.
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
# manifoldbt Backtester Skill ## Purpose Execute what `backtest-expert` teaches. That skill grades a backtest on five dimensions, and its prerequisites say "metrics are user-provided": it scores numbers it never produces. This skill produces them. It runs a strategy over real bars and returns the eight inputs its evaluator asks for. The two chain in one direction: spec, run, evaluate. ## When to Use This Skill - A user describes a rule and wants it measured - `backtest-expert` is about to run and the numbers do not exist yet - A win rate, average winner, average loser or drawdown must come from bars - A strategy's parameter count must be established for scoring Leave the verdict to `backtest-expert`. It owns the thresholds and the red flags, and this skill does not duplicate them. ## Prerequisites - Python 3.9+ - `pip install manifoldbt` (the Python package is Apache 2.0, the compiled engine ships under the free Manifold-BT Engine License; the free tier covers everything this skill does) - OHLCV bars as CSV or Parquet with columns `timestamp, open, high, low, close, volume` - No API key required ## Workflow ### 1. Write the strategy spec …
Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/manifoldbt-backtester@sha256:1fe1dc4cdcfdf77aThe line at the top of this page pins the label git:20261106.d13ec56, 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_bdunqloidgqvcfh6)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Aug 29, 2026 and Nov 6, 2026, about one every 34 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261106.d13ec56 latest | 2026-11-06 | d13ec56 | 6,335 B | A | view · diff |
| git:20261102.258cc69 | 2026-11-02 | 258cc69 | 6,262 B | A | view · diff |
| git:20260829.a6eda52 | 2026-08-29 | a6eda52 | 6,233 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 (6335 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
tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bdunqloidgqvcfh6 GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/manifoldbt-backtester GET https://markdownregistry.com/api/v1/blob/1fe1dc4cdcfdf77a08368fc9d2284f2b3a9454c1b50d3457caf6dca1c97e0958
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.