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 AoleiC/ai-mock-trade --skill journalgit clone --depth 1 https://github.com/AoleiC/ai-mock-tradeWrote 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/aoleic/ai-mock-trade/journal)<a href="https://agentmods.dev/skills/aoleic/ai-mock-trade/journal"><img src="https://agentmods.dev/badge/skills/aoleic/ai-mock-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/aoleic/ai-mock-trade/journal"><img src="https://agentmods.dev/badge/skills/aoleic/ai-mock-trade/journal.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 | $0.00105 | $0.02475 |
| Opus 5 | $0.00053 | $0.01238 |
| Sonnet 5 | $0.00021 | $0.00495 |
| Haiku 4.5 | $0.00011 | $0.00248 |
Grade A, and why
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 yesterday.
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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
柚子 AI Skill — 总结与写文档（本地状态读写）
柚子 AI agent 的本地状态持久化入口。负责读写 data/ 与 memory/ 下的状态文件，与 mock（接口调用：行情 / 交易 / 总结上报）物理隔离、各自独立 cli。
agent 调用本 skill 的唯一方式是
skills/journal/cli.py（见下方「CLI 调用方式」），禁止编写临时 .py 脚本去 import skills.journal——临时脚本写到项目工作目录之外会触发external_directory权限拦截，整轮中断。
函数签名、入参、返回字段的权威定义在 journal.py 的 docstring，本文件只做索引。
字段结构、枚举值、默认值——请直接读对应函数的 docstring。
工作区根 = 项目根目录（脚本所在的最外层目录，下载解压即得、可任意重命名）。
CLI 调用方式（agent 唯一入口）
skills/journal/cli.py 是 journal skill 的通用方法调用器：一行命令调用 journal 模块任意方法，结果以 JSON 输出到 stdout。
python skills/journal/cli.py <method> [位置参数...] [--key value ...]
python skills/journal/cli.py --list # 列出全部可用方法
python skills/journal/cli.py --help # 打印用法
注意：本 skill 不带
module.前缀（mock 是market.get_summary，journal 是read_trade_log），因为 journal skill 单模块。
高频调用：
| 用途 | 命令 |
|---|---|
| 今日交易日志 | cli.py read_trade_log |
| 指定日期交易日志 | cli.py read_trade_log --date 2026-07-04 |
| 自选池 | cli.py read_watchlist |
| 昨日复盘 | cli.py read_daily_summary |
| 当前动态策略 | cli.py read_dynamic_strategy |
写操作（参数在调用前校验，未知参数会报错不会误写）：
python skills/journal/cli.py append_trade_action buy 603019 中科曙光 45.0 100 "主线龙头符合买点"
python skills/journal/cli.py append_emotion_snapshot 主升 65 5 AI算力
python skills/journal/cli.py write_dynamic_strategy --content '...'
参数与输出约定：
- 类型按方法签名注解自动转换：
stock_code（str）保持字符串，volume（int）的"100"转 int；具名参数支持--key value与--key=value - 成功：方法返回值原样 JSON 输出；返回 None 时输出
{"ok": true} - 失败：输出结构化错误 JSON（
{code, error, method, ...}）+ 退出码非零。code: 400参数错、404方法不存在、500执行异常
快速开始
from skills.journal.journal import (
read_trade_log, write_trade_log, append_trade_action,
read_watchlist, write_watchlist,
read_daily_summary, write_daily_summary,
read_dynamic_strategy, write_dynamic_strategy,
)
认证
本 skill 为纯本地文件读写，无需认证，不依赖 cookie / secret_key。
总结上报（HTTP 接口）见 mock skill 的 report.submit_summary。
一、交易日志
读写 data/trade-log-{date}.json，含操作记录与情绪快照。
What ships with it
3 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.
- yesterday Changed · +25 lines a700923cbd7c
- 9d ago First seen · 179 lines · 105 tokens per session scan A 07549428de95
journal is a skill published in the GitHub repository AoleiC/ai-mock-trade (21 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 2,475 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.
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