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 Travisun/Opptrix --skill shareholder-structuregit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/shareholder-structure)<a href="https://agentmods.dev/skills/travisun/opptrix/shareholder-structure"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/shareholder-structure/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/travisun/opptrix/shareholder-structure"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/shareholder-structure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.00927 |
| Opus 5 | $0.00033 | $0.00464 |
| Sonnet 5 | $0.00013 | $0.00185 |
| Haiku 4.5 | $0.00007 | $0.00093 |
Grade A, and why
shareholder-structure 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 5d 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
股东结构
何时使用
用户要分析标的的 股东名册、十大股东、机构持仓结构与变化，而非完整尽调或公告条款精读。边界：公告全文用 @skill:announcement-deepread；资金流短线用尽调中的资金维度。本技能对 A 股（CN）按 full 路径 取股东与机构数据；其他市场按实际返回诚实降级。
分析架构（投研方法）
- 问题/假设：股权是否集中？机构进出如何变化？是否存在显著质押/受限线索（若数据返回）？
- 证据清单：股东列表、机构持仓、公司概况
- 多维交叉验证：前十大合计 vs 流通盘；机构持仓变动方向 vs 叙事（推断须标注）
- 结论与不确定：名册数字为事实；「看好/看空信号」为推断且弱
- 风险与缺口：非 CN 字段缺失、报告期滞后、机构口径不一
- 事实 | 假设 | 推断 分栏强制
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的 | search_instruments / ask_user |
先确认 |
| 概况 | get_instrument_profile |
跳过股本背景 |
| 股东名册 | get_instrument_shareholders |
标明暂无股东数据 |
| 机构持仓 | get_institution_holdings |
省略机构章 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认标的与市场（CN 走 full；其他市场预期可能 partial）。
- 取数：
get_instrument_shareholders+get_institution_holdings+ 概况。 - 结构化：集中度、前十大、机构进出、报告期时效。
- 事实 | 假设 | 推断 分栏；不做「庄股」臆测。
- 交付网页（默认）：
list_web_vendor→create_web；已有则read_web/update_web。
网页报告建议目录
- 标的、报告期与时效
- 股本与股东总览（若有）
- 十大股东表
- 机构持仓与变动
- 集中度与结构要点（事实）
- 事实 | 假设 | 推断分栏
- 风险与数据缺口（含非 CN 降级说明）
- 免责声明（无买卖建议）
禁止
- 荐股；编造股东名单或机构持仓
- 禁止无交付就结束（默认须有 web 产物，除非用户明确只要口头要点）
- 把滞后名册写成「今日筹码」
- assumption / not-feasible 须诚实降级
- 禁止无证据指控操纵或内幕
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.
- 5d ago First seen · 68 lines · 66 tokens per session scan A c2e2c4a2a6f1
shareholder-structure is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 66 tokens to every session and 927 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 2026-09-03.
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