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 layer3_market_pricinggit 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/layer3_market_pricing)<a href="https://agentmods.dev/skills/duolongworld/ai_renaissance/layer3_market_pricing"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer3_market_pricing/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/layer3_market_pricing"><img src="https://agentmods.dev/badge/skills/duolongworld/ai_renaissance/layer3_market_pricing.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 | $0.00030 | $0.00798 |
| Opus 5 | $0.00015 | $0.00399 |
| Sonnet 5 | $0.00006 | $0.00160 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
layer3_market_pricing 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 11d 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 3: 市场定价提取
执行方式
- 数值计算（ERP、信用利差计算）
- 智能分析（LLM解读市场定价含义）
- 混合模式
适用范围
从市场价格反推市场已定价的内容，与 Layer 1 的实际基本面状态形成对照，为 Layer 4 预期差计算提供输入。
输入数据规范
必填数据
| 数据项 | 来源 | 字段名 | 说明 |
|---|---|---|---|
| 中国10Y/2Y国债收益率 | CFETS | cn_10y_yield, cn_2y_yield | 日频 |
| 美国10Y/2Y国债收益率 | Bloomberg | us_10y_yield, us_2y_yield | 日频 |
| 沪深300前瞻PE | Wind | csi300_forward_pe | 日频 |
| 标普500前瞻PE | Bloomberg | sp500_forward_pe | 日频 |
| 沪深300 ERP | Wind | csi300_erp | 日频 |
| 标普500 ERP | Bloomberg | sp500_erp | 日频 |
| AA信用利差 | Wind | aa_credit_spread | 日频 |
| HY信用利差 | ICE BofA | hy_credit_spread | 日频 |
| USD/CNH 1Y远期点 | HKMA | usd_cnh_1y_forward | 日频 |
分析步骤
A. 利率市场反推
| 指标 | 中国版本 | 美国版本 | 反映内容 |
|---|---|---|---|
| 期限利差 | 10Y-2Y国债 | 10Y-2Y UST | 增长预期 |
B. 估值反推盈利预期
| 指标 | 计算方式 | 反映内容 |
|---|---|---|
| 前瞻PE历史百分位 | PE在5年滚动窗口的分位 | 估值乐观/悲观 |
| ERP | 盈利收益率 - 10Y国债 | 风险定价水平 |
C. 汇率反推资本流动
| 指标 | 反映内容 |
|---|---|
| USD/CNH 1Y远期点 | 隐含贬值预期 |
D. 商品反推全球需求
| 指标 | 反映内容 |
|---|---|
| 铜金比 | 全球工业需求预期 |
E. 信用反推风险偏好
| 指标 | 反映内容 |
|---|---|
| AA利差 | 信用风险定价 |
| HY利差 | 经济信心 |
标准输出
{
"layer_name": "layer3",
"timestamp": "2026-05-15T00:00:00",
"analysis_result": {
"rate_pricing": {"cn_term_spread": {"value": 0.5, "interpretation": "增长预期"}},
"valuation_pricing": {"csi300_pe_percentile": {"value": 70, "interpretation": "偏高"}},
"expected_diff": {"growth_diff": {"actual": 0.3, "implied": 0.8, "gap": -0.5}}
}
}
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.
- 11d ago First seen · 84 lines · 30 tokens per session scan A d12ffbedeac3
layer3_market_pricing is a skill published in the GitHub repository duolongworld/AI_Renaissance (59 stars, last pushed 14d ago), licensed Apache-2.0. It adds 30 tokens to every session and 798 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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