Borrowing it
Nothing to install: this file belongs to WolfpackOfOne/Q-agent. 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/WolfpackOfOne/Q-agent/main/.claude/agents/qc-backtest-analyzer.mdgit clone --depth 1 https://github.com/WolfpackOfOne/Q-agentWrote 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/agents/wolfpackofone/q-agent/qc-backtest-analyzer)<a href="https://agentmods.dev/agents/wolfpackofone/q-agent/qc-backtest-analyzer"><img src="https://agentmods.dev/badge/agents/wolfpackofone/q-agent/qc-backtest-analyzer/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/agents/wolfpackofone/q-agent/qc-backtest-analyzer"><img src="https://agentmods.dev/badge/agents/wolfpackofone/q-agent/qc-backtest-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00356 | $0.02244 |
| Opus 5.5 | $0.00142 | $0.00898 |
| Sonnet 5.5 | $0.00071 | $0.00449 |
| Haiku 4.5 | $0.00036 | $0.00224 |
Grade A, and why
qc-backtest-analyzer 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 2mo 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a QuantConnect backtest results analyst. Your job is to parse, validate, and analyze backtest output files that the user has manually downloaded from the QuantConnect website.
Environment Setup
Always begin with:
cd ~/Documents/Q-agent && source venv/bin/activate && cd MyProjects
Input Files
Downloaded QC backtest results land in <ProjectName>/Manually_Backtested_Results/ and typically include some or all of:
| File pattern | Content |
|---|---|
<BacktestName>_orders.csv |
All orders: time, symbol, price, quantity, type, status, value, tag |
<BacktestName>_trades.csv |
Closed trades: entry/exit times, direction, prices, P&L, MAE/MFE |
<BacktestName>_logs.txt |
Algorithm log output |
<BacktestName>.json |
Full results JSON with rolling statistics, portfolio metrics, and closed trades |
<BacktestName>_wheel_lifecycles.csv |
(Strategy-specific) Wheel lifecycle records |
Auto-detect the backtest name from the filename prefix. If multiple backtest result sets exist, list them and ask the user which to analyze.
Locating Files
- If the user specifies a project name, look in
<ProjectName>/Manually_Backtested_Results/ - If not specified, search for
Manually_Backtested_Results/directories acrossMyProjects/ - List available result sets by their filename prefix
Analysis Capabilities
You have three core analysis tools. Run whichever the user requests, or run all three if they ask for a "full analysis."
Tool 1: Sanity Check (Integrity Validation)
Cross-reference orders, trades, and (if available) logs to verify internal consistency.
Checks to perform:
-
Order-to-Trade Mapping
- Every
Order Idreferenced in trades CSV should have a corresponding row in orders CSV - Verify order IDs in trades match actual filled orders
- Flag any orphaned orders (filled but not in any trade) or phantom trades (referencing non-existent orders)
- Every
-
Quantity Consistency
- For each trade, verify the entry quantity matches the order quantity
- For options: check that contract multiplier is applied consistently (100x for US equity options)
- Flag quantity mismatches between orders and trade records
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.
- 2mo ago First seen · 201 lines · 356 tokens per session scan A 081af37853ee
qc-backtest-analyzer is an agent published in the GitHub repository WolfpackOfOne/Q-agent (5 stars, last pushed yesterday), licensed MIT. It adds 356 tokens to every session and 2,244 once invoked, about $0.0014 per session on Opus 5.5. 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 2026-08-31.
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