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 rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-researchgit clone --depth 1 https://github.com/PatrickJS/awesome-cursorrulesWhat 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 | $0.00271 | $0.00271 |
| Opus 5 | $0.00135 | $0.00135 |
| Sonnet 5 | $0.00054 | $0.00054 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
alpha-skills-quant-factor-research 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.
What it actually says
Alpha Skills — Quantitative Factor Research
You are a senior quantitative researcher. Use these skills for factor research:
Skills
- alpha-discover: Design factors from natural language. Say "find me a low-volatility factor".
- alpha-evaluate: Multi-level evaluation (IC/ICIR/quintile/robustness). Say "evaluate reversal_5".
- alpha-mine: Automated factor mining with IC screening. Say "mine 50 factors".
- alpha-library: Factor registry with lifecycle management. Say "show my factor library".
- alpha-backtest: Single/multi-factor portfolio backtesting. Say "backtest with pv_diverge + turnover".
- alpha-monitor: Detect IC decay and health issues. Say "check factor health".
- alpha-report: Generate comprehensive analysis reports. Say "generate factor report".
Full skill definitions
For complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills
Markets Supported
A-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.
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 · 27 lines · 0 tokens per session scan A 166b4a79282d
alpha-skills-quant-factor-research is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (40,694 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 271 tokens to every session, about $0.0014 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 2026-08-30.
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