Borrowing it
Nothing to install: this file belongs to belos-street/stock-analytics-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/belos-street/stock-analytics-skill/main/.agents/skills/a500-index-investment/SKILL.mdgit clone --depth 1 https://github.com/belos-street/stock-analytics-skillWrote 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/belos-street/stock-analytics-skill/a500-index-investment)<a href="https://agentmods.dev/skills/belos-street/stock-analytics-skill/a500-index-investment"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/a500-index-investment/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/belos-street/stock-analytics-skill/a500-index-investment"><img src="https://agentmods.dev/badge/skills/belos-street/stock-analytics-skill/a500-index-investment.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 | $0.00081 | $0.02906 |
| Opus 5 | $0.00041 | $0.01453 |
| Sonnet 5 | $0.00016 | $0.00581 |
| Haiku 4.5 | $0.00008 | $0.00291 |
Grade A, and why
a500-index-investment 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
中证A500指数投资策略 Skill
技能核心定位
核心目标
为用户提供中证A500指数的专属投资策略，基于PE估值分位数给出精确的建仓点、倒金字塔加仓点、减仓点和止盈点，实现"低估买、高估卖"的纪律性投资。
目标用户
- 宽基指数投资者：将A500作为底仓配置的投资者
- 定投/网格投资者：采用分批建仓策略的投资者
- 资产配置者：将A500作为权益底仓的投资者
技能边界
可提供服务：
- A500指数估值状态判断（PE分位数、当前点位相对建仓点的位置）
- 精确建仓时机建议（基于PE阈值）
- 倒金字塔加仓方案（含每档金额比例）
- 减仓/止盈时机建议
- A500ETF选择指导（563360 vs 159361 vs 159352等）
不可提供服务：
- 具体某一天的买卖指令
- 保证收益
- 违规荐股
A500指数基础认知
指数定位
中证A500指数（000510）从各行业选取市值较大、流动性较好的500只证券作为样本，反映各行业最具代表性上市公司证券的整体表现。
核心标签：中国版"标普500"、行业均衡、核心资产、国运指数
关键数据（截至2026年）：
- 成分股数量：500只
- 覆盖A股总市值：约55-56%
- 覆盖A股总净利润：约70%
- 基日以来全收益年化：约10%
- 行业覆盖：89个中证三级行业
A500 vs 其他宽基对比
| 维度 | A500 | 沪深300 | 中证500 |
|---|---|---|---|
| 成分股数 | 500 | 300 | 500 |
| 行业覆盖 | 89个三级行业 | 偏金融消费 | 偏制造业 |
| 行业均衡 | ✅ 单行业≤15% | ❌ 金融~25% | 中等 |
| ESG筛选 | ✅ | ❌ | ❌ |
| 互联互通 | ✅ | 部分 | 部分 |
| 适合定位 | 核心底仓 | 大盘价值 | 中盘弹性 |
常见A500 ETF
| ETF | 代码 | 管理人 | 年费率 | 规模 | 特点 |
|---|---|---|---|---|---|
| A500ETF华泰柏瑞 | 563360 | 华泰柏瑞 | 0.15%+0.05%=0.20% | ~420亿 | 规模最大，流动性最好 |
| A500ETF易方达 | 159361 | 易方达 | 0.15%+0.05%=0.20% | 较大 | 低费率 |
| A500ETF南方 | 159352 | 南方基金 | 0.15%+0.05%=0.20% | 较大 | 低费率 |
推荐563360：规模最大（420亿+），日均成交活跃，买卖价差小，适合大资金进出。
🔑 A500估值中枢（必须牢记）
历史PE区间
| 指标 | 数值 | 说明 |
|---|---|---|
| 历史最低PE | ~12.0x | 极端低估（2024年初恐慌底） |
| 20%分位PE | ~13.5x | 低估区间 |
| 50%分位PE（中位数） | ~15.5x | 合理估值中枢 |
| 80%分位PE | ~17.5x | 高估区间 |
| 历史最高PE | ~19.0x | 极端高估 |
| 长期盈利增速 | ~8-10%/年 | EPS自然增长 |
| 长期年化（全收益） | ~10% | 含分红再投资 |
当前状态快速查（2026年5月）
| 指标 | 数值 | 位置 |
|---|---|---|
| 指数点位 | ~6,020 | 历史高位 |
| PE（市值加权） | ~18.0x | 98%分位 ⚠️ |
| 状态 | 🔴 高估区间，禁止建仓 | 等回到合理估值 |
📥 建仓规则（严格纪律）
⛔ 禁止建仓区：PE > 17.0x（当前在此区间）
当前 PE ~18.0x，处于 98% 分位。绝对禁止建仓。等 PE 回落到 15.5x 以下再考虑。
为何禁止：
- 历史上在此位置买入，未来1-3年回报率极低甚至为负
- 安全边际为零，任何利空都可能导致大幅回撤
- 资金效率极低，倒金字塔无法展开
🟡 观望区：PE 15.5x - 17.0x
- 不建仓，不卖出，持有现金等待
- 如果已持仓，继续持有不操作
- 关注PE是否继续下行到建仓区
🟢 建仓区：PE ≤ 15.5x（50%分位以下）
第一枪：PE 15.5x，对应点位 ~5,200（跌幅约 -14%）
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.
- 12d ago First seen · 244 lines · 81 tokens per session scan A 6bf1728708dd
a500-index-investment is a skill published in the GitHub repository belos-street/stock-analytics-skill (49 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 2,906 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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