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 layer4_expected_diffgit 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/layer4_expected_diff)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/layer4_expected_diff"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer4_expected_diff/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/layer4_expected_diff"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer4_expected_diff.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00024 | $0.00436 |
| Opus 5.5 | $0.00010 | $0.00174 |
| Sonnet 5.5 | $0.00005 | $0.00087 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
layer4_expected_diff 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 1mo 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 4: 预期差信号引擎
执行方式
- 数值计算
- 智能分析（需要LLM解读预期差含义、交易含义）
- 混合模式
适用范围
计算"实际状态vs市场定价"的偏差，为 Layer 5 资产配置提供信号输入。
信号类型
类型A：高频意外指数
- 中国CESI：正值=中国数据持续超预期
- 美国CESI：正值=美国数据持续超预期
类型B：基本面vs市场定价
| 信号 | 计算 | 正信号含义 |
|---|---|---|
| 增长预期差 | CAI - 利率隐含增长 | 实际增长强于定价 |
| 通胀预期差 | 通胀得分 - 隐含通胀 | 实际通胀强于定价 |
类型C：跨国预期差
| 信号 | 含义 |
|---|---|
| 中美增长预期差 | A股vs美股相对价值 |
| 中美流动性差 | 全球资本流向 |
信号衰减规则
| 类型 | 初始有效期 | 衰减方式 |
|---|---|---|
| A类 | 2-4周 | 每周25% |
| B类 | 1-3个月 | 每月20% |
| C类 | 1-3个月 | 每月15% |
复核规则
- 连续2周反向 → 触发复核
- 连续3周反向 → 强制降级至弱信号
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.
- 1mo ago First seen · 54 lines · 24 tokens per session scan A a1149cfaa3ab
layer4_expected_diff is a skill published in the GitHub repository duolongworld/AI_Renaissance (61 stars, last pushed 22d ago), licensed Apache-2.0. It adds 24 tokens to every session and 436 once invoked, about $0.0001 per session on Opus 5.5. 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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