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 ZICXR/A-Stock-Skills --skill trade-journalgit clone --depth 1 https://github.com/ZICXR/A-Stock-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/zicxr/a-stock-skills/trade-journal)<a href="https://agentmods.dev/skills/zicxr/a-stock-skills/trade-journal"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/trade-journal/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/zicxr/a-stock-skills/trade-journal"><img src="https://agentmods.dev/badge/skills/zicxr/a-stock-skills/trade-journal.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 | $0.00098 | $0.00716 |
| Opus 5 | $0.00049 | $0.00358 |
| Sonnet 5 | $0.00020 | $0.00143 |
| Haiku 4.5 | $0.00010 | $0.00072 |
Grade A, and why
trade-journal 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.
What it actually says
trade-journal: AI vs 实盘 复盘
何时使用
- 用户做了交易,想记录"AI 当时怎么说"
- 周/月复盘,看 AI 推荐准不准
- 想积累历史数据,看"AI 推荐的 4 只,30 天后涨跌幅 vs 沪深 300"
核心理念
AI 信号 → 记录 → 30 天后比对 → 算胜率
↓
3 个月后知道 AI 准不准
快速使用
1. 记录 AI 建议
python main.py record --code 601991 --signal "MACD金叉+站上MA20" --action buy --target_price 3.50
输出 journal/2026-06-22.md:
## 2026-06-22 14:30
- 代码: 601991 大唐发电
- AI 信号: MACD金叉+站上MA20
- 建议操作: buy
- 目标价: 3.50 (+9%)
- 当前价: 3.20
2. 记录实盘
python main.py fill --code 601991 --price 3.21 --shares 6200
3. 30 天后比对
python main.py review
输出:
📊 30 天复盘
| 代码 | AI 建议 | 实盘买入 | 30 天后 | 盈亏 | AI 准? |
|------|---------|---------|--------|------|--------|
| 601991 | 3.20 | 3.21 | 3.85 | +19.9% | ✅ 准 |
4. AI 胜率统计
python main.py stats
输出:
🎯 AI 信号胜率 (近 90 天)
- 总推荐: 24 次
- 命中 (涨幅>5%): 14 次
- 胜率: 58.3%
- 平均收益: +4.2%
- vs 沪深 300: +1.8%
数据格式
journal/ 目录:
journal/
├── 2026-06-22.md # 每日记录
├── 2026-06-23.md
└── _stats.json # 自动统计
哲学
AI 不可信, 除非它愿意被复盘
这个 Skill 是 A-Stock-Skills 的"问责机制"。 不积跬步无以至千里, 跑 3 个月您就知道 AI 准不准。
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.
- 12d ago First seen · 94 lines · 98 tokens per session scan A d00ad91ebd98
trade-journal is a skill published in the GitHub repository ZICXR/A-Stock-Skills (25 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 716 once invoked, about $0.0005 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.
Other skills, from other repositories
private-company-research
A research workflow for private companies, meaning businesses whose shares are not traded on a public stock exchange. It uses several research roles to investigate the company in depth.
bottleneck-hunter
A research workflow for finding supply-chain bottlenecks—parts of global production where shortages or limited capacity may create investment opportunities.
investment-research
A broad stock-research workflow combining ideas associated with Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu. It examines the business, its quality, its risks, and its value.
industry-research
An industry-research workflow that maps how an industry works from suppliers to customers, then examines individual companies within it. The value-investing analysis looks at business quality, risks, and price.
investment-checklist
A pre-purchase checklist for value investing, which means buying shares based on a company’s business quality and estimated worth. It is based on the investing approach associated with Warren Buffett.
management-deep-dive
A research workflow for evaluating a company’s managers and leaders. It treats buying shares as partly trusting the people who run the business.