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 robustness-checkgit 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/robustness-check)<a href="https://agentmods.dev/skills/travisun/opptrix/robustness-check"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/robustness-check/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/robustness-check"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/robustness-check.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 | $0.00078 | $0.00827 |
| Opus 5 | $0.00039 | $0.00413 |
| Sonnet 5 | $0.00016 | $0.00165 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
robustness-check 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
稳健性检验
何时使用
用户要验证策略/信号在参数扰动下是否仍站得住，而非单次点估计回测。边界：单次回测用 @skill:run-backtest；因子研究用 @skill:factor-research。
分析架构（投研方法）
- 问题/假设：结论是否依赖某一组「刚好好看」的参数？
- 证据清单：
verify_instrument_strategy结果、run_backtest（若适用）、opptrix_run扰动网格输出 - 多维交叉验证：基准参数 vs 邻域网格；胜率/回撤分布是否塌缩
- 结论与不确定：稳健≠可交易；网格设计本身可过拟合
- 风险与缺口：无法批量回测、标的数据不足
- 事实 | 假设 | 推断 分栏
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的与策略 | ask_user |
先确认 |
| 基准验证 | verify_instrument_strategy |
说明工具失败原因 |
| 回测对照 | run_backtest |
仅做信号层验证 |
| 扰动网格 | opptrix_run（可 workspace_write 固化表） |
手工列出少量扰动并标明非穷尽 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
步骤
- 确认基准参数与扰动维度（窗口、阈值、阈值等）。
- 跑基准
verify_instrument_strategy（及可选run_backtest）。 - 扰动网格：用
opptrix_run批量计算；结果表可workspace_write。 - 汇总稳健性：哪些参数邻域结论同向/翻转；事实与推断分栏。
- 交付网页（默认）：热力/表格用本地 vendor；见
@skill:create-web。
网页报告建议目录
- 检验范围与基准参数
- 基准验证/回测结果
- 扰动网格设计与结果表
- 稳健性结论（事实 / 推断）
- 过拟合与缺口
- 免责声明
禁止
- 荐股；编造网格结果
- 只展示「最好看」的一组参数隐瞒其余
- 禁止无交付就结束
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 · 64 lines · 78 tokens per session scan A 37f6e4747648
robustness-check is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 78 tokens to every session and 827 once invoked, about $0.0004 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.