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.
npx skills add cyijun/china-financial-services --skill idea-generationgit clone --depth 1 https://github.com/cyijun/china-financial-servicesWrote 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/skills/cyijun/china-financial-services/idea-generation)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/idea-generation"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/idea-generation/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/skills/cyijun/china-financial-services/idea-generation"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/idea-generation.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 | $0.00067 | $0.00451 |
| Opus 5.5 | $0.00027 | $0.00180 |
| Sonnet 5.5 | $0.00013 | $0.00090 |
| Haiku 4.5 | $0.00007 | $0.00045 |
Grade A, and why
idea-generation 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 1mo 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
A股研究候选生成
工作流
- 固定
as_of、可投资范围、排除规则和研究容量；历史筛选调用china-market-data并保留历史上市、退市和成员状态。 - 从行业结构变化、盈利驱动变化、财报预期差、会计质量、资本配置和价格隐含预期中提出机制明确的候选。
- 每个筛选条件先写经济逻辑、公式、方向、数据可得时点和潜在混杂；不得先看结果再改规则。
- 涉及因子、历史胜率或回测时调用
a-share-factor-validation。未通过PIT、样本外、成本和统计功效检查的结果只能标为探索性。 - 调用
a-share-company-underwriting验证真实业务暴露，调用a-share-financial-forensics检查盈利质量，调用a-share-valuation-triangulation检查隐含假设。 - 为每个候选写核心问题、机制、支持证据、最强反证、未知、失效条件和下一条最小取证。
- 用
a-share-research-red-team挑战优先级；若同一上下文执行，标记structured challenge而非独立审查。
输出状态
只使用screen hit、research candidate、inconclusive或invalidated。排序依据是证据完整度、可证伪性和研究价值，不是预期收益或主观确定性。
输出研究队列与后续取证计划，不给买卖、做多做空、目标价、入场位、止损或仓位动作。
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.
- 1mo ago First seen · 23 lines · 67 tokens per session scan A e3b7549852de
idea-generation is a skill published in the GitHub repository cyijun/china-financial-services (21 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 451 once invoked, about $0.0003 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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