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agent-booster

WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.

不碰外部(只输出文字)无严重或高危命中a5c-ai/babysitter

它会碰到什么

扫了多少2 个文本文件,2 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

  • High-frequency repetitive modifications
  • When latency is critical (<1ms requirement)
  • Cost-sensitive batch operations

Supported Transforms

| Transform | Description | Example |

|-----------|-------------|---------|

| var-to-const | Modernize variable declarations | var x = 1 -> const x = 1 |

| add-types | Insert TypeScript annotations | function f(x) -> function f(x: string) |

| add-error-handling | Wrap in try/catch | Bare calls -> try/catch blocks |

| async-await | Convert Promise chains | .then().catch() -> async/await |

| extract-function | Extract code blocks | Inline code -> named function |

| inline-variable | Inline single-use variables | Remove intermediate vars |

| add-jsdoc | Generate documentation | Bare functions -> JSDoc comments |

Performance

  • Execution: <1ms per transform
  • Cost: $0 (no LLM invocation)
  • Speedup: 352x compared to LLM inference
  • Confidence threshold: >90% pattern match required

Agents Used

  • agents/coder/ - Fallback for unmatched patterns

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-task-routing

想直接用这个技能?

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