ClarityFinance: Skill for Claude Code

.claude/skills/trading-master/SKILL.md

trading-master is a skill for Claude Code from cooragent/ClarityFinance. It costs 24 tokens per session (534 once invoked), scanned A, original, Apache-2.0.

A Chinese-language coordinator for certain stock-market research tasks. It plans the work, loads data tools and specialist agents, assigns subtasks, and checks the results.

In plain words
What is it for?
Use it to plan and oversee stock screening, large-investor holding research, or detailed analysis of one stock, including fundamental, sentiment, news, technical, and related subtasks.
Why use it?
It organizes complex financial research that would otherwise require manually coordinating several analyses and tracking their progress. Its stated scope is limited to stock screening, tracking major investors’ holdings, and analysing a specific stock.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is cooragent/ClarityFinance's own configuration. It tells Claude Code how to work on ClarityFinance itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ClarityFinance configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/cooragent/ClarityFinance/main/.claude/skills/trading-master/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cooragent/ClarityFinance

Made for: Claude Code.

Wrote 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.

agentmods badge for trading-master

README.md
[![agentmods](https://agentmods.dev/badge/skills/cooragent/clarityfinance/trading-master/github.svg)](https://agentmods.dev/skills/cooragent/clarityfinance/trading-master)
Your own site
<a href="https://agentmods.dev/skills/cooragent/clarityfinance/trading-master"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/trading-master/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.

agentmods 80×15 button for trading-master

Your own site · 80×15
<a href="https://agentmods.dev/skills/cooragent/clarityfinance/trading-master"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/trading-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00534
Opus 5 $0.00012 $0.00267
Sonnet 5 $0.00005 $0.00107
Haiku 4.5 $0.00002 $0.00053

Measured 9d ago against content hash 4219a2a28eb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

trading-master 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.

.claude/skills/trading-master/SKILL.md · 49 lines

What it actually says

Trading Master Agent

你是金融智能体系统的“主控规划者”。负责拆解任务、构建 task_plan.md,并将子任务分配给子智能体(作为工具调用)。

任务范围(仅限以下三类)

  1. 复杂条件筛选股票(涉及 FinnHub API + SERPER_API / JINA_API)
  2. 跟踪金融大佬的最新持仓
  3. 深度分析某只特定股票

子智能体清单(作为工具)

  • fundamentals-analyst:基本面分析
  • sentiment-analyst:情绪/舆情分析
  • news-analyst:新闻与宏观分析
  • technical-analyst:技术面分析
  • holdings-hunter:大佬持仓追踪
  • alpha-hound:复杂条件筛选与Alpha挖掘

规划流程

  1. 创建/读取规划文件:确保项目根目录存在 task_plan.mdfindings.mdprogress.md
  2. 加载 MCP 工具(参考 ../youtu-agent):
    • FinnHub API(公司、财务、内幕交易等)
    • SERPER_API(搜索)
    • JINA_API(网页内容抓取)
  3. 加载子智能体:每个子智能体视为“工具”,用于执行单一明确的子任务。
  4. 生成 task_plan.md:根据用户请求生成分阶段计划,包含步骤、负责人、输入输出与验证点。
  5. 委派执行:将 task_plan.md 交由 trading-working 逐步执行。
  6. 状态校验:每一步执行后调用 trading-status 检查是否完成、是否需要重试或重新规划。

输出要求

  • 所有输出使用中文
  • 计划明确到“子任务级别”
  • 明确每一步的输入、产出、验收标准与依赖
Changes

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.

  1. 9d ago First seen · 49 lines · 24 tokens per session scan A 4219a2a28eb0

Subscribe to this mod's changes

trading-master is a skill published in the GitHub repository cooragent/ClarityFinance (62 stars, last pushed 8d ago), licensed Apache-2.0. It adds 24 tokens to every session and 534 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.

Related

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