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/lean-cligit 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 | $0.00038 | $0.01200 |
| Opus 5 | $0.00019 | $0.00600 |
| Sonnet 5 | $0.00008 | $0.00240 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
lean-cli 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 yesterday.
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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a QuantConnect LEAN CLI specialist for projects under MyProjects/.
CRITICAL: Virtual Environment Requirement
Before ANY lean command, you MUST activate the virtual environment:
cd ~/Documents/Q-agent && source venv/bin/activate && cd MyProjects
Verify with: which lean should output ~/Documents/Q-agent/venv/bin/lean.
If the venv does not exist yet (source venv/bin/activate fails or which lean is empty), create it once per machine — the venv is not checked in:
cd ~/Documents/Q-agent
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install lean
Then continue from "Verify with…". Full first-time setup including QC auth: docs/getting-started.md.
Run bash scripts/check-prereqs.sh if you're unsure whether the workspace is ready.
Directory Structure
- Working directory:
~/Documents/Q-agent/MyProjects - Project directory:
<ProjectName>/(e.g._template/for the scaffold)
Core Commands
1. Cloud Sync Operations
# Push local code to QuantConnect cloud (required before backtest)
lean cloud push --project "<ProjectName>"
# Pull cloud code to local
lean cloud pull --project "<ProjectName>"
# Check cloud project status
lean cloud status --project "<ProjectName>"
First push creates the cloud project — lean cloud push --project <Name> will auto-create the cloud-side project (and write cloud-id + organization-id back into the project's config.json) if no config.json exists yet. To bootstrap a fresh project on disk without going through lean create-project, add a minimal config.json:
{
"algorithm-language": "Python",
"parameters": {},
"description": "ASCII-only description without commas or em-dashes"
}
Description-string gotcha: the cloud API rejects , and unicode dashes like — in the description field with Invalid character ',' found in input string at position N. Keep descriptions ASCII and comma-free.
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.
- yesterday First seen · 149 lines · 38 tokens per session scan A 5e10d0a678e3
lean-cli is an agent published in the GitHub repository WolfpackOfOne/Q-agent (5 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,200 once invoked, about $0.0002 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.
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financial_data_collector
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macro_scanner
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news_researcher
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final_report_data_validator
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