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 precedent-txgit 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/precedent-tx)<a href="https://agentmods.dev/skills/travisun/opptrix/precedent-tx"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/precedent-tx.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 | $0.00064 | $0.00724 |
| Opus 5 | $0.00032 | $0.00362 |
| Sonnet 5 | $0.00013 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
precedent-tx 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
先例交易
何时使用
用户要做并购/融资先例交易对照。边界：具体并购/重组公告条款解读用 @skill:mna-event；本技能只整理带来源的先例样本表（本地无先例库，禁止编造倍数）。
能力声明（开篇强制横幅）
报告与回答开篇必须出现：
本地无先例交易库（not-feasible-now）：Opptrix 未内置先例交易数据库。本技能仅整理用户提供的表格或 browser/资讯中带来源的行。无来源的先例行一律拒绝写入。
分析架构（投研方法）
- 问题/假设：在可比交易样本下，对价/倍数处于何区间？
- 证据清单：用户表、browser 抓取、资讯（均须来源）
- 事实 | 假设 | 推断 分栏
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 用户样本 | ask_user / workspace_read |
无表则只给收集模板 |
| 网页来源 | browser_navigate / browser_snapshot |
无来源行删除 |
| 资讯线索 | list_news_articles / get_news_article |
须回原链核实 |
| 固化 | workspace_write |
可选 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
步骤
- 开篇横幅：本地无先例交易库。
- 收集带来源的行；无来源 → 拒绝。
- 制表与区间描述（非目标价）；交付网页。
网页报告建议目录
- 能力声明横幅（无先例库）
- 样本来源与纳入标准
- 先例交易表（来源列必填）
- 描述统计（若样本足够）
- 事实 / 假设 / 推断
- 免责声明
禁止
- 伪造先例库或无来源「市场平均溢价」
- 荐股；禁止无交付就结束
- 无来源行不得写入报告
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 · 65 lines · 64 tokens per session scan A 7e8c0e450778
precedent-tx is a skill published in the GitHub repository Travisun/Opptrix (230 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 724 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.