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 china-initiating-coveragegit 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/china-initiating-coverage)<a href="https://agentmods.dev/skills/cyijun/china-financial-services/china-initiating-coverage"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/china-initiating-coverage/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/china-initiating-coverage"><img src="https://agentmods.dev/badge/skills/cyijun/china-financial-services/china-initiating-coverage.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 | $0.00069 | $0.00705 |
| Opus 5 | $0.00034 | $0.00352 |
| Sonnet 5 | $0.00014 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
china-initiating-coverage 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
A股首次覆盖研究
工作流
- 明确公司、问题、覆盖范围、
as_of、市场时区和受众；先调用a-share-research-evidence形成证据包。 - 调用
a-share-company-underwriting完成商业模式、盈利驱动、行业结构、竞争优势和治理研究。 - 调用
a-share-financial-forensics统一报告版本、累计/单季、三表勾稽、盈利质量和会计风险。 - 如需预测或工作簿，调用
3-statement-model；所有驱动、来源、情景和勾稽必须可复核。 - 调用
a-share-valuation-triangulation并列DCF、可比、历史、PB-ROE/剩余收益、SOTP或中周期方法，展示敏感性与价格隐含预期。 - 调用
a-share-thesis-tracker建立可证伪支柱、反证、失效条件和验证日历。 - 在另一个独立上下文可用时由独立审阅者执行
a-share-research-red-team；同一上下文执行只能标记为structured challenge，不能声称独立。 - 汇编结论摘要、证据、未知和后续验证。图表只展示有来源、日期、单位和可复现定义的数据。
报告结构
- 研究问题与证据状态
- 公司与盈利驱动
- 行业、价值链和竞争机制
- 财务历史、预测与质量
- 多方法估值及隐含预期
- 核心论点、反证和失效条件
- 风险、未知、数据限制和验证日历
- 来源台账与附录
硬约束
- 不仿冒持牌券商、分析师署名、执业编号或合规审阅。
- 不使用报告发布日期之后的信息污染当时视角。
- 不把共识、行业中位数或DCF单点机械变成目标价。
- 不输出买入、卖出、仓位、止损或自动交易动作。
- 未执行的模型、审计、红队或真实数据调用不得写成通过。
渐进式资料
仅在对应阶段读取公司研究、财务建模、估值、图表、报告汇编和估值方法。
输出
交付研究底稿及可选附件，并明确evidence_status、as_of、运行过的检查、未验证项、方法分歧与生产数据状态。
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 45 lines · 69 tokens per session scan A 4ce611c3bab6
china-initiating-coverage is a skill published in the GitHub repository cyijun/china-financial-services (19 stars, last pushed 19d ago), licensed Apache-2.0. It adds 69 tokens to every session and 705 once invoked, about $0.0003 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.
Other skills, from other repositories
hithink-finance
A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.
hithink-finance-fund
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
hithink-finance-data
A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.
hithink-finance-market
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
hithink-finance-special-data
A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.
hithink-finance-futures
A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.