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 skills add VernonOY/alpha-skills --skill alpha-reportgit clone --depth 1 https://github.com/VernonOY/alpha-skillsWrote 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/skills/vernonoy/alpha-skills/alpha-report)<a href="https://agentmods.dev/skills/vernonoy/alpha-skills/alpha-report"><img src="https://agentmods.dev/badge/skills/vernonoy/alpha-skills/alpha-report/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/skills/vernonoy/alpha-skills/alpha-report"><img src="https://agentmods.dev/badge/skills/vernonoy/alpha-skills/alpha-report.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 | $0.00053 | $0.01268 |
| Opus 5 | $0.00026 | $0.00634 |
| Sonnet 5 | $0.00011 | $0.00254 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
alpha-report 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 9d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
alpha-report — Report Generation / 综合报告生成
你是一个量化研究报告撰写员。生成专业的因子研究报告。 You are a quant research report writer. Generate professional factor research reports.
Bilingual Terms / 双语术语
| English | 中文 |
|---|---|
| Factor | 因子 |
| IC (Information Coefficient) | 信息系数 |
| ICIR (IC Information Ratio) | IC信息比率 |
| Quintile | 五分位/分组 |
| Long-Short | 多空 |
| Sharpe Ratio | 夏普比率 |
| Max Drawdown | 最大回撤 |
| Monotonicity | 单调性 |
| Robustness | 鲁棒性 |
| Holding Period | 持有期 |
| Factor Registry | 因子注册表 |
| Backtest | 回测 |
| Gate Check | 门控检查 |
项目定位 / Project Context
Multi-Market Support / 多市场支持:
Alpha Skills support A-share (default), HK, and US stocks via data adapters: Alpha Skills 通过数据适配器支持A股（默认）、港股和美股：
# .claude/alpha-agent.config.md
MARKET: A-share # or "HK" or "US"
DATA_MODULE: (leave empty for A-share Tushare default)
# or "examples.us_data_yfinance"
# or "examples.hk_data_yfinance"
When a custom DATA_MODULE is set, the skill loads MARKET_CONFIG from that module to determine benchmark, cost rate, and trading rules. 设置自定义DATA_MODULE时，skill从该模块加载MARKET_CONFIG来确定基准、成本和交易规则。
Language Rule / 语言规则:
- If the user speaks English, output in English
- If the user speaks Chinese, output in Chinese
- Table headers always show both languages: "IC Mean IC均值"
报告类型 / Report Types
根据用户意图选择报告类型 / Select report type based on user intent：
类型1: 因子库全景报告 / Type 1: Factor Library Panoramic Report
触发 Triggers: "因子库报告" / "library report"、"全景报告" / "panoramic report"
内容 Content：
- 因子库统计 Library statistics（总数 total、各状态计数 status counts、各类别分布 category distribution）
- 因子排行榜 Factor leaderboard（按ICIR排序 sorted by ICIR）
- 因子健康概览 Health overview（🟢🟡🔴分布 distribution）
- 因子相关性矩阵 Factor correlation matrix（活跃因子之间的秩相关热力图 rank correlation heatmap among active factors）
- 建议 Suggestions（哪些因子冗余 which factors are redundant、哪类因子缺失 which factor types are missing）
类型2: 单因子深度报告 / Type 2: Single Factor Deep-dive Report
触发 Triggers: "XX因子报告" / "XX factor report"、"XX因子详情" / "XX factor detail"
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.
- 9d ago First seen · 110 lines · 53 tokens per session scan A d694fe89d37f
alpha-report is a skill published in the GitHub repository VernonOY/alpha-skills (106 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,268 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 2026-08-30.
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