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 huangrichao2020/pretty-skills --skill e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85git clone --depth 1 https://github.com/huangrichao2020/pretty-skillsWrote 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/huangrichao2020/pretty-skills/e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85)<a href="https://agentmods.dev/skills/huangrichao2020/pretty-skills/e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85/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/huangrichao2020/pretty-skills/e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/e9-87-91-e8-9e-8d-e8-b5-84-e6-9c-ac-e8-a1-a5-e5-85-85.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 | $0.00031 | $0.00869 |
| Opus 5 | $0.00015 | $0.00434 |
| Sonnet 5 | $0.00006 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
capital-injection-bank-insurance 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 4d 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
金融资本补充 (capital-injection-bank-insurance) v1.0
用途
深度解析 A 股银行、保险、政策性银行的定增/注资/资本补充事件，覆盖机制、工具、历史脉络、当前信号。
核心洞察
银行保险的"定增注资"与制造业完全不同：
- 触发原因：监管资本要求（资本充足率红线），不是市场化扩张
- 认购方：财政部/烟草/汇金等体系内主体（不从二级市场抽血）
- 资金用途：补充核心一级/其他一级/二级资本
- 价格基准：≥ 净资产或协议定价
- 锁定期：5 年（银行）/ 3 年（保险）
- 市场含义：托底底盘 + 信贷扩张 + 险资长钱入市
使用场景
触发以下任一关键词时调用本 skill：
- "银行定增"、"工行/农行/建行注资"、"特别国债"
- "保险公司定增"、"偿付能力"、"偿二代二期"
- "财政部注资"、"中国烟草包销"
- "核心一级资本"、"二永债"
- "系统性重要银行"、"G-SIBs"
关联 skill
idea-trade-qa v0.7.0：A 股交易问答（用于选股+操作）next-round-baotuan：抱团预警（联动判断市场风险偏好）卡脖子猎手：产业链分析宏观雷达：货币政策 + 净息差
文件结构
capital-injection-bank-insurance/
├── SKILL.md（本文件）
├── README.md
├── methodology/
│ ├── 01-bank-capital.md # 银行资本工具金字塔
│ ├── 02-insurance-solvency.md # 保险偿付能力
│ └── 03-3600-event.md # 2026-09-07 3600 亿事件
└── tools/
└── scan_capital.py # 扫描银行保险定增公告
快速调用
# 触发扫描（周末/重大公告后）
python tools/scan_capital.py --type all --output json
# 触发预警（每天 16:00）
python tools/scan_capital.py --type alert
关键历史数据
- 2017 年：浦发 400 亿 + 华夏 292 亿 + 平安 260 亿 + 宁波 100 亿
- 2025 年：财政部 5000 亿特别国债 → 中行/建行/交行/邮储
- 2026 Q2：银行业二永债 4 月单月 3150 亿
- 2026-09-07：8 家金融央企合计增资 3600 亿（覆盖完成）
当前市场状态（2026-09-07）
- 工行核心一级：13.21%
- 农行核心一级：10.80%
- 行业净息差：1.40%（历史低位）
- 银行板块：短期中性偏空，长期利好
- 保险板块：直接利好（偿付能力 → 险资长钱）
What ships with it
5 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.
- 4d ago First seen · 77 lines · 31 tokens per session scan A 8318b43952e9
capital-injection-bank-insurance is a skill published in the GitHub repository huangrichao2020/pretty-skills (54 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 869 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 2026-09-07.
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