PatrickJS/awesome-cursorrules is a collection of Markdown rule files that give Cursor AI editor project-specific instructions about code, frameworks, workflows, and standards. Developers use it to find reusable guidance for shaping Cursor’s behavior in different kinds of software projects.
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.
git clone --depth 1 https://github.com/PatrickJS/awesome-cursorrulesWrote 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/rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-research)<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-research"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-research/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/rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-research"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/alpha-skills-quant-factor-research.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 | $0.00271 | $0.00271 |
| Opus 5.5 | $0.00108 | $0.00108 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (41,029 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 271 tokens to every session, about $0.0011 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 2026-08-30.
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