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 management-capitalgit 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/management-capital)<a href="https://agentmods.dev/skills/travisun/opptrix/management-capital"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/management-capital.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.01001 |
| Opus 5 | $0.00032 | $0.00500 |
| Sonnet 5 | $0.00013 | $0.00200 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
management-capital 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 4d 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
管理层与资本配置
何时使用
用户要评估 管理层相关线索与资本配置行为（分红、回购、再投资、并购扩张等），而非只要财务速读。边界：盈利质量数字框架用 @skill:earnings-quality；竞争壁垒用 @skill:competitive-moat。完整度 assumption-only：仓库 无 managerInfo 专用工具；履历类信息需用户提供或经 browser 补公开网页，并标明来源与时效。
分析架构（投研方法）
- 问题/假设：资本回报是否与再投资决策一致？现金用途是否清晰？
- 证据清单：财务与现金流、资讯中的分红回购并购、公开履历网页（browser）
- 多维交叉验证：FCF vs 分红回购；ROE/ROIC 趋势 vs 扩张叙事
- 结论与不确定：配置行为描述为事实；「管理层优秀/糟糕」为推断
- 风险与缺口：无结构化高管库、网页来源不可靠、海外披露差异
- 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 |
业务章从简 |
| 财务/现金流 | get_instrument_financials / get_instrument_cash_flow |
配置分析降级 |
| 事件资讯 | get_instrument_news |
省略近期事件 |
| 履历/公开介绍 | browser_navigate + browser_snapshot |
标明无履历；不编造简历 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认标的与关注点（分红回购 / 并购 / 管理层变动）。
- 取财务与资讯事实。
- 履历补全：无专用 tool → 经 browser 读公司/监管公开页，或
ask_user；失败则 omission。 - 资本配置框架：来源与用途、回报趋势、激励线索（仅公开事实）。
- 交付网页（默认）：
list_web_vendor→create_web；标注 assumption-only。
网页报告建议目录
- 标的与时效
- 资本配置事实摘要（分红/回购/投资/筹资）
- 回报指标趋势（若有）
- 管理层公开信息与来源（browser/用户）
- 评估框架结论（推断分栏）
- 事实 | 假设 | 推断
- 缺口与 not-feasible 项
- 免责声明（无买卖建议；非尽职调查替代）
禁止
- 荐股；编造高管履历或未披露薪酬
- 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）
- 假装存在 managerInfo 工具结果
- assumption / not-feasible 须诚实降级
- 禁止人格攻击式「管理层评价」
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.
- 4d ago First seen · 69 lines · 65 tokens per session scan A c782ae85e82b
management-capital is a skill published in the GitHub repository Travisun/Opptrix (230 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,001 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.
Other skills, from other repositories
national-team-position
A Chinese-language analysis tool that estimates changes in China’s government-backed ETF holdings by tracking ETF share counts and related index prices. ETFs are funds traded on stock exchanges, and the “national team” refers here to Central Huijin, a state investment company.
caijing-ipo-hk
A Chinese-language adviser for Hong Kong stock initial public offerings, or IPOs—the first sale of a company's shares to the public. It covers how to apply, how much to apply for, and risks such as the share price falling below the offering price.
caijing-fundamental
A finance research skill for writing a detailed, forward-looking analysis of a listed company’s business, financials, valuation, risks, and investment arguments. It covers companies listed in mainland China and Hong Kong.
rodya-caijing-studio
A toolkit for researching Chinese A-share and Hong Kong-listed companies and producing financial content. It includes separate workflows for company fundamentals, earnings, valuation, risks, industries, and IPO checks.
caijing-earnings
A finance research skill for reviewing listed companies’ earnings reports, or preparing for an upcoming report. It focuses on Chinese A- and Hong Kong-listed companies.
caijing-valuation
A Chinese-language adviser that assesses whether a stock's current valuation looks high or low. It adapts the comparison to the industry and examines historical and peer-company valuation ranges.