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 multi-factor-index-enhancegit 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/multi-factor-index-enhance)<a href="https://agentmods.dev/skills/travisun/opptrix/multi-factor-index-enhance"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/multi-factor-index-enhance/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/multi-factor-index-enhance"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/multi-factor-index-enhance.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 | $0.00077 | $0.00586 |
| Opus 5 | $0.00039 | $0.00293 |
| Sonnet 5 | $0.00015 | $0.00117 |
| Haiku 4.5 | $0.00008 | $0.00059 |
Grade A, and why
multi-factor-index-enhance 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
多因子指数增强（规则加权）
方法溯源 QuantsPlaybook「多因子指数增强」。核心加权：截面 zscore 合成 → TopN → 截断归一。有 panels.risk_model/cov → full；否则 proxy。
何时使用
要对成分/股票池做多因子合成加权示意。默认网页交付。
边界：完整均值方差用 @skill:lean-mean-variance；行业约束用 @skill:lean-sector-weighting。不与 lean-* 合并。
取数与运行
get_index_constituents+ 批量日 K，或写入panels.factors。workspace_write→：
python scripts/multi_factor_index_enhance.py --input data.json --output result.json
输入
bars[]：多标的 close（无 panels.factors 时）panels.factors：可选[{symbol, date, factors:{name:val}}]params：mom_window/vol_window/top_n/max_weight
输出
signal：选中标的value（合成分）+weightmeta.data_mode：按是否具备风险模型面板自适应（禁止无条件写死 degraded）
依赖
仅标准库。
禁止
- 假装有完整风险归因/约束优化
- 荐股或实盘仓位指令
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 · 58 lines · 77 tokens per session scan A 65bba19dc412
multi-factor-index-enhance is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 77 tokens to every session and 586 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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