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 run-backtestgit 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/run-backtest)<a href="https://agentmods.dev/skills/travisun/opptrix/run-backtest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/run-backtest/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/run-backtest"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/run-backtest.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 | $0.00075 | $0.00811 |
| Opus 5 | $0.00037 | $0.00405 |
| Sonnet 5 | $0.00015 | $0.00162 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
run-backtest 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
策略回测
何时使用
用户要对某套规则/策略做历史回测验证（不是只要现价或定性评论）。默认交付可预览网页报告。
分析架构（投研方法）
- 问题/假设：在给定参数下，策略历史表现与风险特征如何？是否稳健？
- 证据清单：
run_backtest返回的收益、回撤、胜率、交易统计等 - 多维交叉验证：收益 vs 最大回撤；胜率 vs 盈亏比；样本外/参数敏感（若工具未提供则标明无法验证）
- 结论与不确定：历史结果≠未来；过拟合与幸存者偏差须写明
- 风险与缺口：参数无效、数据不足、区间过短
- 事实与推断必须分开：禁止「口头回测」冒充工具结果
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 参数 | 标的/池、区间、频率、规则（ask_user 确认关键项） |
不清则先确认 |
| 回测执行 | run_backtest |
写明失败原因，禁止编造曲线 |
| 风险收益 | 工具返回指标 | 只列已返回字段 |
| 交付 | list_web_vendor → create_web |
用户只要口头要点时可跳过 |
步骤
- 确认参数：标的/池、区间、频率、入出场规则。
- 执行
run_backtest。 - 交叉验证与结构化结论：KPI 表 + 局限与不确定。
- 交付网页（默认）：
list_web_vendor→create_web（权益曲线等用本地 vendor）；已有则read_web/update_web。 - 备选：用户点名画布 / 结构图时改用对应工具。
网页报告建议目录
- 策略与参数摘要
- 回测区间与样本说明
- 收益与风险 KPI
- 关键交易/阶段表现（若有）
- 局限：过拟合、数据缺口、不可外推
- 免责声明（非投资建议）
禁止
- 荐股或暗示必然盈利
- 编造未返回的回测指标
- 用文字「口头回测」冒充
run_backtest - 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）
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 · 75 tokens per session scan A b0d6c8506721
run-backtest is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 811 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.
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