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AI-powered code review for Q/kdb+ — catch bugs in the most terse language in finance
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install beee003/q-kdb-code-review打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
AI-powered code review for Q/kdb+ — catch bugs, performance issues, and security vulnerabilities in the most terse language in quantitative finance.
Reviews Q/kdb+ code with deep understanding of Q idioms, performance patterns, and common pitfalls. Built for quant developers, kdb+ DBAs, and trading infrastructure teams.
Catches:
peach parallelism opportunities for embarrassingly parallel operationseval/value usage on user-supplied strings (Q injection)`g# grouped attributes on high-cardinality join columnsaj (asof joins) or wj (window joins)Strictness modes:
| Mode | What it checks |
|---|---|
standard |
Bugs, correctness, type errors, join semantics, null handling |
strict |
Everything in standard + performance (attributes, peach, vector ops) + style |
security |
Everything in standard + injection via string eval, unprotected IPC handlers, exposed .z.pw, port exposure |
Intelligent routing via Astrai: Complex algorithmic Q (custom signal generation, real-time CEP) routes to powerful models. Simple table operations (selects, inserts, schema definitions) route to cheaper, faster models. You get the best result at the lowest cost.
BYOK (Bring Your Own Keys): Your provider API keys, your billing. Astrai routes to the best model among your configured providers.
export ASTRAI_API_KEY="your_...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# q-kdb-code-review AI-powered code review for Q/kdb+ — catch bugs, performance issues, and security vulnerabilities in the most terse language in quantitative finance. ## What it does Reviews Q/kdb+ code with deep understanding of Q idioms, performance patterns, and common pitfalls. Built for quant developers, kdb+ DBAs, and trading infrastructure teams. **Catches:** - Type errors in implicit casts (e.g., mixing longs and floats in comparisons) - Rank errors from wrong argument counts in function calls - Unescaped signals in protected evaluation - Memory-inefficient queries (selecting all columns when only some are needed) - Missing `peach` parallelism opportunities for embarrassingly parallel operations - Unsafe `eval`/`value` usage on user-supplied strings (Q injection) - Unlocked tables during concurrent inserts - Missing `` `g# `` grouped attributes on high-cardinality join columns - N-squared joins that should be `aj` (asof joins) or `wj` (window joins) - Race conditions in timer callbacks (.z.ts) - Unprotected IPC handlers (.z.pg, .z.ps) and exposed .z.pw **Strictness modes:** | Mode | What it checks | |------|---------------| | `standard` | Bugs, correctness, type errors, join semantics, null handling | | `strict` | Everything in standard + performance (attributes, peach, vector ops) + style | | `security` | Everything in standard + injection via string eval, unprotected IPC handlers, exposed .z.pw, port exposure | **Intelligent routing via Astrai:** Complex algorithmic Q (custom signal generation, real-time CEP) routes to powerful models. Simple table operations (selects, inserts, schema definitions) route to cheaper, faster models. You get the best result at the lowest cost. **BYOK (Bring Your Own Keys):** Your provider API keys, your billing. Astrai routes to the best model among your configured providers. ## Setup 1. **Get a free API key** at [as-trai.com](https://as-trai.com) 2. **Set your API key:** ```bash export ASTRAI_API_KEY="your_...
A股实时行情与分时量能分析
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