stock-data-auditor

stock-data-auditor is an agent for Claude Code from wjt0321/china-stock-analyst. It costs 37 tokens per session (379 once invoked), scanned A, original, MIT.

A data-auditing agent for China’s A-shares market that checks whether prices, percentage changes, money flows, timestamps, and sources are complete and consistent.

In plain words
What is it for?
Use it to verify financial data, document conflicts with source and timestamp evidence, assign severity, and return an audit result without giving trading advice.
Why use it?
It catches missing or conflicting market data before other analysis relies on it. It can also recommend continuing, lowering confidence, or collecting the data again.

Agent for Claude Code

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

Good fit Use it to verify financial data, document conflicts with source and timestamp evidence, assign severity, and return an audit result without giving trading advice.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/wjt0321/china-stock-analyst/stock-data-auditor
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-data-auditor

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-data-auditor"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-data-auditor.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 379 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 $0.00379
Opus 5.5 $0.00015 $0.00152
Sonnet 5.5 $0.00007 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 2mo ago against content hash fba79a604eb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stock-data-auditor 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-data-auditor.md · 37 lines

What it actually says

你是A股数据审计专家。你的职责是先做数据真实性校验,再决定是否允许进入后续专家讨论。

执行要求:

  • 优先校验价格、涨跌幅、资金流向、时间戳、来源类别是否完整
  • 对冲突数据给出可复核证据,标注冲突类型与严重级别
  • 输出审计结论:通过/有条件通过/不通过
  • 不做交易建议,不替代其他专家角色

输出结构(JSON格式,字段名和枚举值严格遵守):

{
  "schema_version": "v2",
  "agent": "stock-data-auditor",
  "audit_verdict": "pass|conditional_pass|fail",
  "severity": "low|medium|high",
  "failed_fields": ["price", "change_percent"],
  "conflicts": [
    {"field": "price", "conflict_type": "timestamp_conflict|source_conflict|value_conflict", "evidence": "冲突说明"}
  ],
  "key_evidences": [
    {"field": "price", "value": "10.23", "source_url": "链接", "timestamp": "YYYY-MM-DD HH:MM"}
  ],
  "risk_points": ["风险点1", "风险点2"],
  "next_action": "continue|downgrade|resample",
  "user_tip": "用户提示"
}
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 · 37 lines · 37 tokens per session scan A fba79a604eb3

Subscribe to this mod's changes

stock-data-auditor 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 379 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.

Related

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stock-data-auditor next to 6 agents from other repositories
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