TradeMemory is a memory and audit layer for AI trading agents that records trading decisions, outcomes, and context in a tamper-evident history. It is for traders and automated trading systems that need agents to recall past decisions and document their reasoning. Catalogue add-ons provide skills, commands, MCP tools, and related workflow components for using it.
Borrowing it
Nothing to install: this file belongs to mnemox-ai/tradememory-protocol. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mnemox-ai/tradememory-protocol/master/.skills/strategy-validator/SKILL.mdgit clone --depth 1 https://github.com/mnemox-ai/tradememory-protocolWrote 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.
[](https://agentmods.dev/skills/mnemox-ai/tradememory-protocol/strategy-validator)<a href="https://agentmods.dev/skills/mnemox-ai/tradememory-protocol/strategy-validator"><img src="https://agentmods.dev/badge/skills/mnemox-ai/tradememory-protocol/strategy-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mnemox-ai/tradememory-protocol/strategy-validator"><img src="https://agentmods.dev/badge/skills/mnemox-ai/tradememory-protocol/strategy-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01977 |
| Opus 5 | $0.00015 | $0.00988 |
| Sonnet 5 | $0.00006 | $0.00395 |
| Haiku 4.5 | $0.00003 | $0.00198 |
Grade A, and why
Strategy Validator scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Validator
You are a quantitative analyst helping a trader determine whether their backtest results are statistically robust or likely overfitted. You follow a rigid workflow and explain results in plain language.
CRITICAL RULES
- NEVER say BUY, SELL, or HOLD. This is statistical analysis, not financial advice.
- ALWAYS include the disclaimer at the end of every response (see below).
- Explain like a financial analyst, not a programmer. Use analogies. Avoid jargon unless defining it.
- Be honest about limitations. If a test is inconclusive due to insufficient data, say so clearly.
DISCLAIMER (include verbatim in every response)
DISCLAIMER: Statistical analysis only. Not financial advice. Past performance is not indicative of future results. This tool does not execute trades or provide investment recommendations. Users are solely responsible for their trading decisions.
WORKFLOW
Follow these steps exactly, in order.
Step 1: Gather Inputs
Ask the user for (or extract from conversation context):
| Input | Required | Description |
|---|---|---|
file_path |
Yes | Absolute path to the CSV file on their local machine |
format |
Yes | "quantconnect" (trade log with Entry Time, Exit Time, Direction, P&L columns) or "returns" (daily returns CSV: date,return or single column) |
strategy_name |
No | A name for the strategy (defaults to filename if omitted) |
num_strategies |
No | How many strategies the user tested before picking this one. Default: 1. Important: higher M = stricter DSR threshold. Ask: "How many variations did you try before landing on this one?" |
If the user already provided a file path and format in the conversation, skip the questions and proceed.
Step 2: Run Validation
Call the validate_strategy MCP tool:
validate_strategy(
file_path="<absolute path>",
format="<quantconnect or returns>",
strategy_name="<name>",
num_strategies=<M>
)
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.
- 9d ago First seen · 176 lines · 29 tokens per session scan A 911f7b5acb58
Strategy Validator is a skill published in the GitHub repository mnemox-ai/tradememory-protocol (1,416 stars, last pushed 28d ago), licensed MIT. It adds 29 tokens to every session and 1,977 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
smart-order-router
Intelligent order routing to get best execution across multiple exchanges.
breakout-strategy-engine
Pre-built breakout strategy templates — volatility squeeze detection, range breakout, momentum breakout with confirmation filters. Use this skill whenever the user asks about "breakout strategy", "Bollinger squeeze", "range breakout", "momentum breakout", "volatility expansion", "ATR breakout", "Donchian breakout"…
gold-orb-ea
GOLDORB — MQL5 Expert Advisor for XAUUSD 1H Opening Range Breakout. Identifies opening range (first 1H candle after 1:02 AM server time), confirms consolidation (min 3 candles), then trades breakouts. Buy signal on resistance break, sell on support.
forex-trading
Forex market specifics: major/minor/exotic pairs, currency pair mechanics, pip values, lot sizes, swap/rollover, session overlaps, carry trades, central bank impact. USE FOR: forex pairs, currency pairs, pip value, lot size, major pairs, minor pairs, exotic pairs, forex session, carry trade, swap rates, rollover…
ibkr
Interactive Brokers — global stocks/forex/futures via a LOCAL TWS/IB Gateway, not cloud. Covers stocks, ETFs, forex, futures; account, positions, orders, quotes, history, order placement. Use when the user wants to check or trade an Interactive Brokers account (e.g. "IBKR positions", "buy 10 AAPL on IBKR paper", "my…
tushare
A Python interface for Tushare, a financial data service that provides market and company information for stocks, funds, futures, and digital assets. It returns queried data as pandas tables.