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 vmacd-mtm-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/vmacd-mtm-timing)<a href="https://agentmods.dev/skills/travisun/opptrix/vmacd-mtm-timing"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/vmacd-mtm-timing/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/vmacd-mtm-timing"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/vmacd-mtm-timing.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 | $0.00089 | $0.00732 |
| Opus 5 | $0.00044 | $0.00366 |
| Sonnet 5 | $0.00018 | $0.00146 |
| Haiku 4.5 | $0.00009 | $0.00073 |
Grade A, and why
vmacd-mtm-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
VMACD_MTM 价量共振择时
方法溯源 东北证券 VMACD_MTM（QuantsPlaybook SignalMaker/vmacd_mtm.py）；对本技能写入的成交量序列计算动量并与价格动量做共振解读。
何时使用
用户要看 成交量 MACD 动量是否与价格趋势同向（价量共振）。
边界：通用指标手册用 @skill:lean-indicator-playbook；勿与之合并。默认网页交付。
分析架构（投研方法）
- 问题/假设：VMACD_MTM 方向如何？是否与 period 收益同向？
- 证据：volume/close 日 K；参数 period（默认 60）
- 交叉验证：量能动量 vs 价格动量；背离记 0
- 事实 | 假设 | 推断 分栏
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的 | search_instruments |
先确认 |
| 日 K（含 volume） | get_instrument_chart → workspace_write |
无量则失败 |
| 计算 | opptrix_run |
说明错误 |
| 交付 | create_web |
— |
步骤
- 确认标的与
params.period（默认 60）。 - 写入至少约
period+40根日 K。 python scripts/vmacd_mtm_timing.py --input data.json --output result.json- 解读
series.vmacd_mtm与共振signal。 create_web交付。
依赖与降级
- 纯 Python EMA/MACD；无 talib。
- 样本不足返回
ok=false。
禁止
- 荐股；把信号写成买卖指令
- 脚本内联网取数（jqdata / tushare / qlib / HTTP 行情）
- 假装完整回测引擎或伪造胜率
- 无交付就结束（默认 web）
- 与
lean-*技能合并或冒充
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 · 64 lines · 89 tokens per session scan A 9dae8ca531e1
vmacd-mtm-timing is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 89 tokens to every session and 732 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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