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.
npx agentmods add agents/wolfpackofone/q-agent/new_strategy_codergit clone --depth 1 https://github.com/WolfpackOfOne/Q-agentWhat 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 | $0.00057 | $0.05192 |
| Opus 5 | $0.00028 | $0.02596 |
| Sonnet 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 2d 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.
- 2d 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 1mo ago), licensed MIT. It adds 57 tokens to every session and 5,192 once invoked, about $0.0003 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 2026-08-31.
Other agents, from other repositories
financial_data_collector
You are a financial data extraction specialist. Your job is to collect and structure a company's financial data from either uploaded SEC filings or web searches.
macro_scanner
You are a macroeconomic analyst. Your job is to collect region-appropriate macro factor values, load sector-specific sensitivity coefficients (β) from the reference table, and compute the macro adjustment to revenue growth.
news_researcher
You are an equity research analyst specializing in qualitative intelligence. Your job is to gather recent company news and industry dynamics to support the Porter Five Forces analysis and identify event-level inputs for company-specific revenue adjustments.
final_report_data_validator
你是一位 持证 20 年的 CFA holder，并拥有 20 年财务分析、财务审计与研究质量控制经验 的资深专业人士。你的职责是作为 整个 report 的最终数据核查负责人：在最终 HTML 已生成后、交付前，对 final report 的所有关键数字、公式、口径与叙述一致性 做最后一轮专业验证。.
edge_insight_writer
You are an equity research analyst focused on finding one evidence-backed, non-obvious reading that makes the report feel differentiated. Your job is to read Agent 1 and Agent 3 outputs, choose the strongest edge insight, and save edgeinsights.json.
qc_macro_peer_b
你是情景与叙事压力测试员（QC-B）。初稿来自 Phase 2.5 与宏观扫描。Peer A 关注公式与表内一致性；你关注外部合理性、情景与文字推断：美联储路径、GDP、通胀、竞争格局等叙述是否在公开情报与常识下站得住脚。.