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 feature-dist-timing-2git 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/feature-dist-timing-2)<a href="https://agentmods.dev/skills/travisun/opptrix/feature-dist-timing-2"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/feature-dist-timing-2.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 | $0.00081 | $0.00557 |
| Opus 5 | $0.00041 | $0.00279 |
| Sonnet 5 | $0.00016 | $0.00111 |
| Haiku 4.5 | $0.00008 | $0.00056 |
Grade A, and why
feature-dist-timing-2 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 8d 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
特征分布建模择时系列之二
溯源华创「物极必反，巧妙做空，特征成交量」思路：成交量类特征 进入历史极端高分位后，给出偏空/减仓开关（物极必反），而非系列一的对称多空分位。
与系列一（feature-dist-timing）差异（必读）
| 维度 | 系列一 | 系列二（本技能） |
|---|---|---|
| 主题 | 通用特征分布阈值 | 特征成交量 极端反转 |
| 默认特征名 | 任意 / params.feature |
volume / feature_volume / turnover |
| 高分位行为 | 可配置做多（state=1） | 偏空（state=-1，物极必反） |
| 低分位 | 可配置做空 | 默认中性（不主动做多），除非 params.symmetrical=true |
| 适用 | 情绪/价量综合特征 | 放量极端后的择时开关 |
勿与系列一合并；用户说「系列二 / 特征成交量」时用本技能。
运行
python scripts/feature_dist_timing_2.py --input data.json --output result.json
默认 create_web。仅标准库。
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.
- 8d ago First seen · 44 lines · 81 tokens per session scan A 339bac23dbb4
feature-dist-timing-2 is a skill published in the GitHub repository Travisun/Opptrix (230 stars, last pushed today), licensed Apache-2.0. It adds 81 tokens to every session and 557 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 2026-08-30.
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