A Stock Analysis
A股实时行情与分时量能分析
AI-powered code review for Q/kdb+ — catch bugs in the most terse language in finance
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install beee003/q-kdb-code-reviewExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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_...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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
A股模拟交易系统 - 数据爬取、存储、策略回测、模拟交易 / A-Share Paper Trading System - Data Fetch, Storage, Backtest, Simulation
Discover, install, update, or create the right skill when a workflow gap appears. Use when a task is repetitive, a role lacks a reliable procedure, an existing skill might save time, ClawHub search/install coul...
AI Automation Agency Blueprint