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Ai Codegenerator

Name: Ai Codegenerator
Author: jason513597

作者 jason513597 · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

346

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-codegenerator

功能描述

Automatically generates code based on task descriptions, with optional context and constraints, providing plans, results, and summaries.

使用说明 (SKILL.md)

AI_CodeGenerator

Purpose

自動程式生成

Primary Agents

Coder

Notes

可單獨使用

Inputs

task: 要執行的任務描述
context: 額外上下文（可選）
constraints: 限制條件（可選）

Outputs

plan/result/report（依任務類型）
logs/summary

Workflow (default)

Analyze task
Plan subtasks
Execute by role
Validate result
Return final summary

Safety

不執行破壞性操作，除非明確授權
外部動作（發送、部署到正式環境）需二次確認
記錄關鍵決策與錯誤

安全使用建议

This skill's name and docs imply a flexible code generator, but the bundled run.py only scaffolds a FastAPI app and writes files under /home/jason/.openclaw/workspace/generated/<project-name>. Before installing: (1) confirm you expect a FastAPI scaffolder (not a general code generator), (2) confirm where files will be written and whether that hard-coded path is acceptable or could overwrite data, (3) run the code in a safe sandbox first (it only writes files and prints JSON but will create directories), (4) inspect and/or run the generated code locally before deploying, and (5) note the script contains a likely runtime bug (imports UTC from datetime) and may fail — ask the author for a corrected, configurable output path and clarifications about how context/constraints are used.

功能分析

Type: OpenClaw Skill Name: ai-codegenerator Version: 1.0.0 The skill contains a hardcoded absolute path to a specific user's home directory (/home/jason/.openclaw/workspace/generated) in run.py, which is a significant privacy and portability concern. While the script's current behavior is limited to generating a benign FastAPI scaffold, the use of a specific local username and the lack of input-driven logic (it ignores the 'task' content to write a static template) are unusual and potentially indicative of a targeted or poorly constructed tool.

能力评估

⚠ Purpose & Capability

The skill description and SKILL.md describe a general 'automatically generates code' capability with task/context/constraints. The provided run.py, however, only creates a FastAPI project scaffold (requirements.txt, README, app/main.py) and uses the 'task' mainly to name the project. It does not implement general code generation or honor 'context'/'constraints' beyond naming. This mismatch (generic marketing vs single-purpose implementation) is disproportionate and unexplained.

⚠ Instruction Scope

SKILL.md is minimal and does not document file-system effects or output path, but run.py writes files to disk under a hard-coded path (/home/jason/.openclaw/workspace/generated/<name>). The instructions do not warn about creating or overwriting files at that location. While the actions themselves are limited to local file writes (no network/credentials), the silent filesystem writes and path choice expand scope beyond what the SKILL.md states.

✓ Install Mechanism

There is no install specification (instruction-only skill plus a local runner script). No downloads, package installs, or external installers are declared. This is the lower-risk install pattern.

✓ Credentials

The skill declares no required environment variables or credentials and run.py does not access environment secrets. That is proportionate to the observed functionality. Note: the script uses a hard-coded filesystem path tied to a specific username ('jason'), which is a configuration oddity but not a credentials request.

✓ Persistence & Privilege

No 'always' privilege or elevated persistence is requested. The skill does write files to disk in a fixed directory under the running user's permissions, which is normal for a code-scaffolding tool but should be clearly documented.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-codegenerator
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-codegenerator 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

AI_CodeGenerator 1.0.0 – Initial Release - Provides automatic code generation based on user-described tasks. - Accepts task description, optional context, and constraints as inputs. - Produces a plan, results, and execution logs according to task requirements. - Features a workflow including task analysis, planning, execution, validation, and summary. - Includes safety measures to avoid destructive actions and requires confirmation for external operations. - Logs key decisions and errors for auditability.

元数据

Slug ai-codegenerator

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

常见问题