trading-review-wiki: A trading review knowledge base powered by LLM 专为交易者设计的 LLM 驱动知识库:快速复盘、交割单导入

by ymj8903668-droid · AI Tool · ★ 291

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Security audit verdict: SAFE · quality 55/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars291
Forks144
LanguageJavaScript
CategoryAI Tool
Quality Score55/100
Open Issues8
Last Updated2026-08-31
Created2026-04-17
Platformsnode
Est. Tokens~22k

About trading-review-wiki

Trading Review Wiki Codex CLI 面向交易复盘知识库的 Codex CLI 工具集:把 raw 资料、正式 wiki、图谱、长期记忆、结构化事实和行情 SQL 组织成一个可检索、可验证、可迭代的交易研究系统。 作者:杰哥|公众号: 协作者:@sowelswl 这个仓库现在的主定位不是单纯桌面应用,而是围绕 live 知识库运行的一套自动化 CLI: 多源 RAG 问答: App-grade 知识摄入: 盘前预测与盘后验证: 插件优先公司深度研究: 长期纠错与自训练: Wiki 维护和检索质量治理: Gangtise/OpenClaw 主题资料导出与摄入辅助 Desktop App Builds If you want the earlier Tauri desktop app instead of the Codex CLI toolchain, use the...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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