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 duolongworld/AI_Renaissance --skill layer5_asset_allocationgit clone --depth 1 https://github.com/duolongworld/AI_RenaissanceWrote 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/duolongworld/ai_renaissance/layer5_asset_allocation)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/layer5_asset_allocation"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer5_asset_allocation/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/duolongworld/ai_renaissance/layer5_asset_allocation"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer5_asset_allocation.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 | $0.00033 | $0.00430 |
| Opus 5 | $0.00016 | $0.00215 |
| Sonnet 5 | $0.00007 | $0.00086 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
layer5_asset_allocation 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 10d 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
Layer 5: 资产配置与权重输出
执行方式
- 数值计算（Beta权重计算、风险预算约束）
- 智能分析（Alpha偏离决策）
- 混合模式
核心架构
Beta层（All Weather风险平价）
| 资产类别 | 工具 | 基础权重 |
|---|---|---|
| A股 | 沪深300+中证500 | 15% |
| 中国国债 | 10年期国债 | 35% |
| 南华工业品 | 商品期货组合 | 15% |
| 黄金 | 黄金期货/ETF | 15% |
| 美元资产 | QDII/港美股ETF | 20% |
Alpha层（预期差信号驱动）
基于Layer 4.5修正后的信号强度生成偏离。
风险预算约束
| 约束项 | 阈值 |
|---|---|
| 单信号最大偏离 | ±30% |
| 单资产最大权重偏离 | ±50% |
| 组合年化波动率上限 | 12% |
| 最大回撤硬性上限 | 15% |
| 组合杠杆上限 | 1.5x |
Alpha偏离系数
| 修正后信号强度 | Alpha偏离系数 |
|---|---|
| ≥80% | 0.3 |
| 60%-80% | 0.2 |
| 50%-60% | 0.1 |
| <50% | 0（不产生偏离） |
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.
- 10d ago First seen · 51 lines · 33 tokens per session scan A 4c96ac52a725
layer5_asset_allocation is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 13d ago), licensed Apache-2.0. It adds 33 tokens to every session and 430 once invoked, about $0.0002 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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