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 limit-move-attributiongit 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/limit-move-attribution)<a href="https://agentmods.dev/skills/travisun/opptrix/limit-move-attribution"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/limit-move-attribution.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 | $0.00069 | $0.00712 |
| Opus 5 | $0.00034 | $0.00356 |
| Sonnet 5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
limit-move-attribution 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 4d 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
涨跌停归因
何时使用
用户要理解当日/近期涨跌停的可核实归因（榜单、公告、资讯），而非预测明日连板。边界：资讯标题流用 @skill:news-digest；单则公告条款精读用 @skill:announcement-deepread。本技能把榜单/龙虎榜与披露交叉归因，禁止输出连板预测名单。
分析架构（投研方法）
- 问题/假设：涨跌停更可能由什么可观察因素驱动？
- 证据清单：
get_limit_updown、get_cn_market_special、get_dragon_tiger、公告/资讯 - 多维交叉验证：榜单席位 vs 公告时间；板块涨停数 vs 个股
- 事实 | 假设 | 推断 分栏
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 涨跌停 | get_limit_updown |
标明无数据 |
| 市场特殊 | get_cn_market_special |
降级 |
| 龙虎榜 | get_dragon_tiger |
省略席位章 |
| 公告/资讯 | get_instrument_notices / list_news_articles |
归因降为「未知」 |
| 交付 | list_web_vendor → create_web |
可跳过口头要点 |
步骤
- 确认日期与标的/全市场。
- 拉涨跌停 + 龙虎榜 + 公告资讯。
- 归因表：每条带来源；无来源写未知。
- 交付网页（默认）；禁止输出明日连板名单。
网页报告建议目录
- 日期范围与样本
- 涨跌停事实表
- 龙虎榜与公告对照
- 归因结论（事实 / 推断）
- 缺口
- 免责声明（禁止预测连板）
禁止
- 禁止「明日连板名单」或打板荐股
- 编造涨停原因
- 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.
- 4d ago First seen · 61 lines · 69 tokens per session scan A 9f989854837c
limit-move-attribution is a skill published in the GitHub repository Travisun/Opptrix (230 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 712 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.
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