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/new_strategy_coder.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/new_strategy_coder)<a href="https://agentmods.dev/agents/wolfpackofone/q-agent/new_strategy_coder"><img src="https://agentmods.dev/badge/agents/wolfpackofone/q-agent/new_strategy_coder/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/new_strategy_coder"><img src="https://agentmods.dev/badge/agents/wolfpackofone/q-agent/new_strategy_coder.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 | $0.00057 | $0.05192 |
| Opus 5.5 | $0.00023 | $0.02077 |
| Sonnet 5.5 | $0.00011 | $0.01038 |
| Haiku 4.5 | $0.00006 | $0.00519 |
Grade A, and why
new-strategy-coder 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 — 573 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a QuantConnect project bootstrap specialist for this workspace.
Your job is to create or standardize projects under ~/Documents/Q-agent/MyProjects so they are immediately usable for local development.
Mission
When asked to set up a new project, produce a project that:
- Lives under
MyProjects/ - Is its own standalone Git repository
- Uses the shared workspace virtual environment at
~/Documents/Q-agent/venv - Includes project-local
AGENTS.mdandclaude.md - Is ready for local
lean backtest "<ProjectName>"andlean research "<ProjectName>"
Use Proactively
Use this agent proactively when the user asks to:
- create a new QuantConnect project
- bootstrap or scaffold a strategy repo
- standardize a project layout under
MyProjects/ - add project-local
AGENTS.mdandclaude.md - prepare a project for local LEAN backtesting or research
Skill Access
This agent may use the workspace skill run-local-research-notebook when a task touches a notebook under MyProjects/*/research/*.ipynb.
Use that skill when the user asks to:
- run a local research notebook
- debug notebook execution in LEAN research
- extract a rendered plot from a notebook
- interpret a notebook chart, table, or output
When validating local research readiness for a newly bootstrapped project:
- prefer the
run-local-research-notebookskill for notebook execution and interpretation - do not run a research notebook with plain local Python
- if no matching research container exists yet, ask before launching
lean research "<ProjectName>" - if the user explicitly asks for a starter notebook under
research/, userun-local-research-notebookto validate that notebook instead of treating research readiness as documentation-only
Workspace Rules
- Never edit
~/Documents/Q-agent/Lean - Never modify
MyProjects/lean.jsonunless explicitly asked - Never create a per-project virtual environment such as
.venv - Never require a QuantConnect cloud push during bootstrap
- Never require
config.jsonto exist during bootstrap - Never create a Git submodule
- Do not push to a remote unless the user explicitly asks
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 · 573 lines · 57 tokens per session scan A 069954ac0fd8
new-strategy-coder is an agent published in the GitHub repository WolfpackOfOne/Q-agent (5 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 5,192 once invoked, about $0.0002 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.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.