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AI Dev Runtime

作者 sammytan · GitHub ↗ · v0.5.0 · MIT-0
cross-platform ⚠ suspicious
369
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在 OpenClaw 中安装
/install ai-dev-runtime
功能描述
AI Dev Runtime tools - read_file, search, edit, run_terminal, run_tests (hybrid semantic+keyword search, learning memory)
使用说明 (SKILL.md)

Use these tools to interact with AI Dev Runtime:

  • ai_dev_runtime_command: Slash command — /ai-dev-runtime \x3Ctask> runs full dev task (plan → edit → test → fix)
  • ai_dev_runtime_invoke: Low-level tool calls — read_file, search, edit, edit_multi, apply_patch, find_references, call_hierarchy, run_terminal, run_tests
  • ai_dev_runtime_run_task: Batch task execution (multi-step coding)
  • ai_dev_runtime_fix_bug: Bug-fix workflow (analyze → patch → verify)
  • ai_dev_runtime_analyze: Codebase analysis (semantic + keyword search, learning memory)

For higher accuracy: Before calling ai_dev_runtime_fix_bug or ai_dev_runtime_run_task, use memory_search to find similar past fixes (e.g. "login bug", "500 error", "pytest"). Pass the snippets as prior_memory so Runtime can use them.

Set AI_DEV_RUNTIME_URL (default http://localhost:8000) and optionally AI_DEV_RUNTIME_API_KEY. Ensure AiDevRuntime HTTP server is running.

安全使用建议
This appears to be a developer tooling integration that expects an AiDevRuntime HTTP service and will send code snippets and prior 'memory' to that service. Before enabling: 1) Confirm where AI_DEV_RUNTIME_URL will point — prefer running the service locally (localhost) rather than a remote/third-party host. 2) Treat AI_DEV_RUNTIME_API_KEY as a secret if used; ask the maintainer to declare required env vars in the manifest. 3) Ask what exact data the runtime receives and whether it persists or shares code snippets or sensitive files. 4) If you cannot verify the server or its operator, avoid pointing the URL to an external host because the agent may transmit repository contents and past fixes (which can include secrets). 5) Consider requesting a manifest update that explicitly lists AI_DEV_RUNTIME_URL and AI_DEV_RUNTIME_API_KEY and documents what data flows to the runtime and retention policies.
功能分析
Type: OpenClaw Skill Name: ai-dev-runtime Version: 0.5.0 The skill bundle defines high-risk capabilities including arbitrary terminal command execution (run_terminal), file system modification (edit, apply_patch), and reading local files (read_file) via a local HTTP server (defaulting to localhost:8000). While these tools are aligned with the stated purpose of an 'AI Dev Runtime' in SKILL.md, the broad permissions granted to the AI agent to execute shell commands and access the file system represent a significant attack surface for potential abuse or accidental damage, fitting the criteria for suspicious risky capabilities.
能力评估
Purpose & Capability
The name/description (tools for read_file, search, edit, run_terminal, run_tests, semantic+keyword search, memory) align with the instructions which describe an AiDevRuntime HTTP service exposing those operations. That capability set is coherent with the stated purpose. Minor mismatch: SKILL.md expects environment configuration (AI_DEV_RUNTIME_URL, optional API key) despite the registry declaring no required env vars.
Instruction Scope
Runtime instructions direct the agent to call an external/local HTTP service and to use memory_search and pass prior code snippets as prior_memory so the runtime can use them. This means the agent will send repository snippets / past fixes / memory to the configured endpoint. SKILL.md also implicitly grants the agent discretion to look up 'similar past fixes' and pass them along — that can lead to sending sensitive code, tokens, or other secrets to the endpoint. The instructions reference env vars (AI_DEV_RUNTIME_URL, AI_DEV_RUNTIME_API_KEY) that are not declared by the skill manifest, creating an inconsistency about what the skill will access.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — low disk/write risk. Nothing is downloaded or installed by the skill manifest.
Credentials
The SKILL.md asks users to set AI_DEV_RUNTIME_URL (default localhost) and optionally AI_DEV_RUNTIME_API_KEY, but the manifest lists no required environment variables or primary credential. Because the endpoint is configurable, the agent could be pointed at a remote server and will transmit code and memory there; that capability justifies declaring and documenting the env vars and the threat model. The mismatch between declared env and instructions is a proportionality and transparency issue.
Persistence & Privilege
The skill does not request always:true, does not install persistent components, and does not claim to modify other skills or global agent settings. Default autonomous invocation is allowed (normal) but not combined with other high-privilege flags.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-dev-runtime
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-dev-runtime 触发
  4. 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
v0.5.0
Version 0.5.0 of ai-dev-runtime - Introduced new tools and workflows for interacting with AI Dev Runtime, including commands for full dev tasks, low-level operations, batch execution, bug fixing, and analysis. - Added support for hybrid semantic + keyword code search with learning memory. - Recommended improved workflow using memory_search and prior_memory for higher accuracy when fixing bugs or running tasks. - Clarified usage instructions for setup with AI_DEV_RUNTIME_URL and API key. - Updated documentation and metadata for easier onboarding and usage.
元数据
Slug ai-dev-runtime
版本 0.5.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

AI Dev Runtime 是什么?

AI Dev Runtime tools - read_file, search, edit, run_terminal, run_tests (hybrid semantic+keyword search, learning memory). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 369 次。

如何安装 AI Dev Runtime?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-dev-runtime」即可一键安装,无需额外配置。

AI Dev Runtime 是免费的吗?

是的,AI Dev Runtime 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

AI Dev Runtime 支持哪些平台?

AI Dev Runtime 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 AI Dev Runtime?

由 sammytan(@sammytan)开发并维护,当前版本 v0.5.0。

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