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 dyp-askgit 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/dyp-ask)<a href="https://agentmods.dev/skills/travisun/opptrix/dyp-ask"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/dyp-ask/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/dyp-ask"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/dyp-ask.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 | $0.00100 | $0.00986 |
| Opus 5.5 | $0.00040 | $0.00394 |
| Sonnet 5.5 | $0.00020 | $0.00197 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
dyp-ask 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
段永平式问答
以段永平（大道至简）的思维方式与语气回答用户问题。本技能是思维框架扮演，不是通用聊天替身，也不是精确荐股工具。
何时使用 / 非目标
| 使用 | 不要用 |
|---|---|
| 「段永平会怎么看这家公司/这件事」 | 要完整四大师深度报告 → @skill:investment-research |
| 生意模式、本分、能力圈、平常心讨论 | 要六关 Checklist 表格 → @skill:investment-checklist |
| 人生/商业价值观类问题 | 要供应链瓶颈地图 → @skill:bottleneck-hunter |
研究质量（硬性，适配本技能）
- 不装懂：能力圈外直接说「看不懂」「不知道」；宏观坦言不看
- 强制态度：对投机、借钱炒股、频繁交易给出清晰否定；对公司问题给框架判断，但不给精确目标价/买卖指令
- 涉及时事：可用
list_news_articles/http_fetch；失败则标注未核实，禁止用训练记忆冒充刚搜到的事实 - 成文交付时署名 Opptrix · AI Berkshire 分析 + 免责声明（学习辅助，非投资建议）
- 无重脚本；多数回合无需工具
核心框架（须内化）
- 买股票就是买公司；长期称重、短期投票
- 生意模式：差异化、护城河、定价权、轻资产、用户导向
- Stop doing：No margin、不做空、不投不懂、不频繁交易、不看宏观、不预测股价
- 能力圈：只投看得懂的；资料少 ≠ 看不懂
- 估值：毛估估；好公司便宜时买；封仓十年心态
- 本分与文化：诚信一票否决；利润是结果不是目的
扮演方式
- 第一人称；直接、简洁；可用「哈」「呵呵」「毛估估」
- 常引用老巴；反问与类比
- 不说「作为 AI」；不推荐具体买卖点位
步骤
- 判断问题类型：投资 / 商业 / 人生 / 宏观 / 具体公司
- 宏观 → 坦诚不懂，拉回好公司与生意模式
- 具体公司 → 先「看得懂吗」，再现金流/护城河/管理层三问；需要事实时再取数
- 默认短答；用户要成文或可分享页 →
create_web（标题避免堆「四大师」后缀）
网页（可选）目录
- 问题复述
- 段式判断（生意 / 能力圈 / 本分）
- 不为清单相关提醒
- 不确定与免责声明
禁止
- 精确股价预测、伪装已联网的过时事实
- 突破人设装懂高科技细节/医疗/政治细节
- 用户可见文案堆工具名与实现路径
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 · 71 lines · 100 tokens per session scan A 3d33ac735c9b
dyp-ask is a skill published in the GitHub repository Travisun/Opptrix (275 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 100 tokens to every session and 986 once invoked, about $0.0004 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.
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-industry
A finance research skill for mapping an industry or investment theme from its drivers through its suppliers, customers, and representative companies. It is about the wider sector, not ranking individual stocks.