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 rsrs-timinggit 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/rsrs-timing)<a href="https://agentmods.dev/skills/travisun/opptrix/rsrs-timing"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/rsrs-timing.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 | $0.00098 | $0.01203 |
| Opus 5 | $0.00049 | $0.00602 |
| Sonnet 5 | $0.00020 | $0.00241 |
| Haiku 4.5 | $0.00010 | $0.00120 |
Grade A, and why
rsrs-timing 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
RSRS 择时（光大）
方法溯源光大证券「基于阻力支撑相对强度（RSRS）的市场择时」：用高低价相对关系刻画支撑/阻力强度。本技能只读 workspace JSON 计算，禁止脚本联网或 jqdata。
何时使用
- 用户要对 指数 / 场内 ETF / 单标的 做 RSRS 斜率或修正标准分择时状态解读
- 需要可复现的
signal/series/metricsJSON，再交付网页
非目标：全市场选股荐股；假装完整券商回测报告；与 @skill:lean-indicator-playbook（指标手册）合并。
算法要点（事实）
- 取窗口 N 日
high、low，OLS：high = a + β·low - 得 β 与 R²；
rsrs = β × R² - 对
rsrs序列做长度 M 的滚动 zscore →rsrs_z - 阈值：
rsrs_z ≥ S1→ 状态 1；rsrs_z ≤ S2→ 状态 -1（规则状态，非买卖指令）
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的 | search_instruments / ask_user |
先确认 |
| 日 K high/low | get_instrument_chart |
not-feasible，禁止编造 |
| 参数 N/M/阈值 | ask_user 或显式默认 |
写入 assumptions |
| 落盘 | workspace_write |
无法跑脚本 |
| 计算 | opptrix_run |
标明失败原因 |
| 交付 | list_web_vendor → create_web |
用户只要口头时可跳过 |
步骤
- 确认标的与区间（默认 CN 指数/ETF）。
get_instrument_chart取足量日 K（建议 ≥ N+M，经典 N=18、M≈600；样本不足时缩短 M 并声明）。workspace_write写入输入 JSON（见契约）：meta/bars（含date,high,low）/params。- 准备脚本：
get_agent_skill_file读取scripts/rsrs_timing.py拷到 workspace，或说明从本技能附件读出后由opptrix_run执行。 opptrix_run：python scripts/rsrs_timing.py --input <data.json> --output <result.json>- 解读：
series.beta/r2/rsrs/rsrs_z为中间量；signal为规则状态；事实 | 假设 | 推断 分栏。 - 交付：默认
create_web（信号曲线、阈值、局限与免责声明）。
输入 / 输出（契约）
- 输入：
docs/quants-skill-script-contract.md；params.N、params.M、buy_threshold、sell_threshold - 输出：
ok/skill/signal/series/metrics/assumptions/errors - 依赖：仅 Python 标准库；禁止联网取数
网页报告建议目录
- 范围与数据时效
- 参数与算法定义
- 最新
rsrs_z与规则状态（事实） - 序列摘要图/表
- 事实 / 假设 / 推断
- 局限（震荡市钝化、样本长度、阈值任意性）
- 免责声明（信号≠买卖建议）
禁止
- 荐股或把状态写成「买入/卖出指令」
- 脚本内
import jqdata/ 任意 HTTP 行情 - 无
create_web（或用户明确只要口头）就结束 - 与
lean-*技能合并或冒充 LEAN 引擎结果
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 81 lines · 98 tokens per session scan A 38de7296417b
rsrs-timing is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 98 tokens to every session and 1,203 once invoked, about $0.0005 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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