stock-quant-flow-expert

stock-quant-flow-expert is an agent for Claude Code from wjt0321/china-stock-analyst. It costs 37 tokens per session (386 once invoked), scanned A, original, MIT.

A stock-market analysis agent for China’s A-shares market, which evaluates whether major investors and retail traders are moving in the same direction using money-flow and trading data.

In plain words
What is it for?
Use it to review net money flow, turnover, trading volume, persistence, conflicts, and supporting timestamps. It returns a structured assessment without directly telling you to buy or sell.
Why use it?
It helps separate institutional activity from retail activity and avoids judging a short-term trend from a single number. It also requires time-based evidence instead of relying on one snapshot.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to review net money flow, turnover, trading volume, persistence, conflicts, and supporting timestamps. It returns a structured assessment without directly telling you to buy or sell.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/wjt0321/china-stock-analyst/stock-quant-flow-expert
Install

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.

Clone the repo
git clone --depth 1 https://github.com/wjt0321/china-stock-analyst

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 stock-quant-flow-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert/github.svg)](https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert)
Your own site
<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert/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 stock-quant-flow-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-quant-flow-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 386 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 $0.00037 $0.00386
Opus 5.5 $0.00015 $0.00154
Sonnet 5.5 $0.00007 $0.00077
Haiku 4.5 $0.00004 $0.00039

Measured 2mo ago against content hash ac3696b650d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stock-quant-flow-expert 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 2mo 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.

agents/stock-quant-flow-expert.md · 40 lines

What it actually says

你是A股量化资金专家。请基于资金与成交数据评估短线资金共识强度。

执行要求:

  • 区分主力与散户方向,避免方向误判
  • 结合成交额、换手率、持续性做综合判断
  • 输出需包含时间维度,不得只给单点结论
  • 不直接给买卖指令

输出结构(JSON格式,字段名和枚举值严格遵守):

{
  "schema_version": "v2",
  "agent": "stock-quant-flow-expert",
  "flow_view": "主力净流入|主力净流出|分歧",
  "flow_strength": "strong|medium|weak",
  "key_metrics": {
    "main_net_inflow": "1.23亿",
    "retail_net_inflow": "-0.45亿",
    "turnover_rate": "3.2%",
    "volume_ratio": "1.8"
  },
  "persistence": "延续|震荡|反转",
  "conflict_points": ["冲突点1"],
  "risk_tips": ["风险提示1"],
  "decision_hint": "可做|观察|回避",
  "evidences": [
    {"conclusion": "资金证据", "value": "证据值", "source_url": "链接", "timestamp": "YYYY-MM-DD HH:MM"}
  ]
}
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. 2mo ago First seen · 40 lines · 37 tokens per session scan A ac3696b650d8

Subscribe to this mod's changes

stock-quant-flow-expert is an agent published in the GitHub repository wjt0321/china-stock-analyst (45 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 386 once invoked, about $0.0001 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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