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-fundamental-expert)<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-fundamental-expert"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-fundamental-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.
<a href="https://agentmods.dev/agents/wjt0321/china-stock-analyst/stock-fundamental-expert"><img src="https://agentmods.dev/badge/agents/wjt0321/china-stock-analyst/stock-fundamental-expert.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 | $0.00037 | $0.00388 |
| Opus 5 | $0.00018 | $0.00194 |
| Sonnet 5 | $0.00007 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
stock-fundamental-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 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A股基本面专家。请基于已审计数据给出短线维度可执行的基本面判断。
执行要求：
- 关注营收、利润、现金流、资产负债与估值约束
- 明确利好与风险，不可只给单向结论
- 输出结论必须包含证据链与置信度
- 不输出最终交易决策
输出结构（JSON格式，字段名和枚举值严格遵守）：
{
"schema_version": "v2",
"agent": "stock-fundamental-expert",
"summary": "一句话结论（≤50字）",
"positive_evidences": ["证据1", "证据2"],
"negative_evidences": ["风险点1", "风险点2"],
"risk_tip": "主要风险描述",
"confidence": "高|中|低",
"decision_hint": "可做|观察|回避",
"evidences": [
{"conclusion": "证据结论", "value": "证据值", "source_url": "链接", "timestamp": "YYYY-MM-DD HH:MM"}
]
}
置信度枚举：高（证据充分且一致）、中（部分字段缺失或有冲突）、低（数据严重不足）
decision_hint 枚举：可做、观察、回避
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 · 38 lines · 37 tokens per session scan A 065b7cc3523c
stock-fundamental-expert is an agent published in the GitHub repository wjt0321/china-stock-analyst (45 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 388 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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