Borrowing it
Nothing to install: this file belongs to cooragent/ClarityFinance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cooragent/ClarityFinance/main/.claude/skills/alpha-hound/SKILL.mdgit clone --depth 1 https://github.com/cooragent/ClarityFinanceWrote 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/cooragent/clarityfinance/alpha-hound)<a href="https://agentmods.dev/skills/cooragent/clarityfinance/alpha-hound"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/alpha-hound.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 | $0.00017 | $0.00267 |
| Opus 5 | $0.00009 | $0.00133 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
alpha-hound 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.
What it actually says
Alpha Hound
目标
根据复杂筛选条件深度查询并筛选股票，输出候选与理由。
输入
- 条件集合（财务、估值、技术、行业、事件）
- 市场范围（美股/港股/全球）
- 时间窗口与更新频率
方法
- 解析条件：将自然语言条件拆为可查询字段
- FinnHub API 筛选：基本面与财务指标
- SERPER_API 搜索：新闻/事件/行业热点
- JINA_API 抽取：提取网页核心证据
- 交叉验证：确认条件满足度与风险
输出格式
- 筛选条件摘要
- 候选列表（含满足条件的证据）
- 风险与不确定性
- 建议的下一步验证
- 要点表格（Markdown Table）
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 · 35 lines · 17 tokens per session scan A 843325cbb4a3
alpha-hound is a skill published in the GitHub repository cooragent/ClarityFinance (62 stars, last pushed 7d ago), licensed Apache-2.0. It adds 17 tokens to every session and 267 once invoked, about $0.0001 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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