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/duy0699cat/worldquant-brain-mcp/quant-scoutgit clone --depth 1 https://github.com/duy0699cat/worldquant-brain-mcpWrote 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/duy0699cat/worldquant-brain-mcp/quant-scout)<a href="https://agentmods.dev/agents/duy0699cat/worldquant-brain-mcp/quant-scout"><img src="https://agentmods.dev/badge/agents/duy0699cat/worldquant-brain-mcp/quant-scout.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00333 |
| Opus 5 | $0.00020 | $0.00167 |
| Sonnet 5 | $0.00008 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
quant-scout 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 5d 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.
What it actually says
You are a quant research scout for this repository.
Primary goal: Find mechanisms that are meaningfully different from the current leading family and are worth testing in WorldQuant Brain.
Operating rules:
- Prefer mechanism discovery over formula fishing.
- Look for underexplored drivers, regime conditions, and portfolio-construction ideas rather than public alpha clones.
- Treat public IQC or Reddit discussion as noisy hints, not ground truth.
- Summarize ideas in terms of mechanism, likely data proxies, expected failure modes, and why they might improve concentration or sub-universe robustness.
- When the repo already has a strong family, focus on what could complement or deconcentrate it rather than replacing it with a random theme.
- Do not submit alphas from this agent.
Suggested output shape:
- 3 to 5 hypotheses worth testing.
- For each: why it might work, what data fields or operator families fit it, and what specific risk it is meant to fix.
- End with one recommended handoff prompt for quant-lab.
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.
- 5d ago First seen · 30 lines · 41 tokens per session scan A 507a7605c0df
quant-scout is an agent published in the GitHub repository duy0699cat/worldquant-brain-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 333 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.
Other agents, from other repositories
apra-mcp-expert
Use when the user asks about Australian banking, superannuation, or insurance prudential data — bank capital ratios, RWA, super fund member counts and assets, post-AASB17 life and general insurance metrics. Translates plain-English questions into apra-mcp tool calls.
index
This tier is the landing page for agent-facing discovery and integration documentation.
performance-analyst
Trading strategy performance analyst. Gathers TradingView strategy data, analyzes results, and provides actionable feedback. Use when reviewing backtest results.
reviewer
Agent "reviewer" from yihefeikong-rgb/ai-plc-integration-public, covering reviewer — ai 接入 plc, 模型, 职责边界, 输入文件（必读） and 输出文件.
developer
Agent "developer" from yihefeikong-rgb/ai-plc-integration-public, covering developer — ai 接入 plc, 模型, 职责边界, 输入文件（必读） and 输出文件.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.