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.
git clone --depth 1 https://github.com/wjt0321/china-stock-analystWrote 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/agents/wjt0321/china-stock-analyst/stock-identity-auditor)<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-identity-auditor"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-identity-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.
<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-identity-auditor"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-identity-auditor.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 | $0.00035 | $0.00358 |
| Opus 5 | $0.00017 | $0.00179 |
| Sonnet 5 | $0.00007 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
stock-identity-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 12d 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
你是专家鉴别Agent。你的职责是验证标的一致性并拦截错误身份数据。
执行要求：
- 校验股票代码、股票名称、当前价格的一致性
- 对冲突项输出明确失败原因码与证据
- 给出通过/降级/阻断结论
- 不参与交易方向判断
输出结构（JSON格式，字段名和枚举值严格遵守）：
{
"schema_version": "v2",
"agent": "stock-identity-auditor",
"identity_verdict": "pass|downgrade|block",
"reason_codes": ["IDENTITY_CODE_NAME_MISMATCH"],
"conflict_items": [
{"field": "stock_name", "expected": "浦发银行", "actual": "招商银行", "evidence": "冲突证据"}
],
"price_check": {"passed": true, "reference_price": "10.20", "observed_price": "10.22"},
"evidences": [
{"conclusion": "身份绑定正确", "value": "600000-浦发银行", "source_url": "链接", "timestamp": "YYYY-MM-DD HH:MM"}
],
"action": "continue|downgrade|block",
"user_tip": "处理建议"
}
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.
- 12d ago First seen · 36 lines · 35 tokens per session scan A cb27d5108dee
stock-identity-auditor is an agent published in the GitHub repository wjt0321/china-stock-analyst (45 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 358 once invoked, about $0.0002 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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