backtesting

backtesting is a skill for Claude Code, Codex from shahinesi/wallgold-ai. It costs 40 tokens per session (348 once invoked), scanned C, original, no licence file.

A conservative method for evaluating trading signals with time-ordered data. It checks for look-ahead, overfitting, trading costs, benchmarks, and out-of-sample results.

In plain words
What is it for?
Use it to backtest trading signals, account for transaction costs, compare results with a benchmark, and test on data not used during development.
Why use it?
It helps reveal when a trading strategy looks good only because it used future information or was fitted too closely to past data.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to backtest trading signals, account for transaction costs, compare results with a benchmark, and test on data not used during development.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shahinesi/wallgold-ai/backtesting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add shahinesi/wallgold-ai --skill backtesting
Clone the repo
git clone --depth 1 https://github.com/shahinesi/wallgold-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for backtesting

README.md
[![agentmods](https://agentmods.dev/badge/skills/shahinesi/wallgold-ai/backtesting.svg)](https://agentmods.dev/skills/shahinesi/wallgold-ai/backtesting)
Your own site
<a href="https://agentmods.dev/skills/shahinesi/wallgold-ai/backtesting"><img src="https://agentmods.dev/badge/skills/shahinesi/wallgold-ai/backtesting.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 348 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00348
Opus 5 $0.00020 $0.00174
Sonnet 5 $0.00008 $0.00070
Haiku 4.5 $0.00004 $0.00035

Measured 6d ago against content hash 68e59a24d87d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

backtesting scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

description: ارزیابی محافظه‌کارانه سیگنال‌ها با داده زمان‌دار، کنترل look-ahead و overfitting، هزینه معامله، benchmark و تست خارج از نمونه. --- # بک‌تست 1. فقط داده تاریخی مرتب‌شده و زمان‌دار استفاده کن؛ داده ساختگی، پرک
plugin/skills/backtesting/SKILL.md · 16 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 16 lines · 40 tokens per session scan C 68e59a24d87d

Subscribe to this mod's changes

backtesting is a skill published in the GitHub repository shahinesi/wallgold-ai (0 stars, last pushed 17d ago), with no licence file. It adds 40 tokens to every session and 348 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories