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UniSkill V4

作者 Timo2026 · GitHub ↗ · v4.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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版本数
在 OpenClaw 中安装
/install uniskill-v4
功能描述
极简AI Agent框架 - 3%解决方案。从8771行精简到1000行,保留苏格拉底探明+多模型辩论核心方法论。
安全使用建议
What to check before installing - Source/trust: the skill's origin/homepage is unknown; prefer installing from a verified GitHub/PyPI source and confirm repository contents match. - Automatic triggering: the gateway auto-triggers on many keywords (CNC, decision words). If you don't want automatic runs, disable autonomous invocation or review agent trigger rules. - Future network/model calls: model-calling code is currently stubbed/heuristic with TODOs mentioning sessions_spawn and cloud/local models. If later versions add remote model calls, they may require credentials — only allow that from trusted sources. - Runtime dependencies: orchestrator imports psutil at runtime but requirements.txt does not include it; running in your environment may raise ImportError. Install and test in a sandbox or virtualenv and run the included tests (pytest) before enabling in production. - Path insertion: INTEGRATION.md and the gateway manipulate sys.path and reference an OpenClaw workspace location — ensure this won't inadvertently cause module shadowing or import of unexpected code in your environment. - Review logs and metadata: provided logs and scripts (github-release.sh) include author emails and repo URLs; verify these links before trusting published packages. Recommended actions: run the package in an isolated environment, run the provided tests, inspect the code for any later commits that add external network calls or credential usage, and only enable automatic invocation if you understand and accept the trigger rules.
功能分析
Type: OpenClaw Skill Name: uniskill-v4 Version: 4.1.0 The UniSkill V4 bundle is a minimalist AI agent framework designed for requirement anchoring (Socratic Engine) and decision-making (Multi-model debate), specifically optimized for CNC machining use cases. The code across core modules like `orchestrator_v4.py`, `socratic_engine_v4.py`, and `idea_debater_v4.py` is well-structured, focusing on keyword extraction, heuristic scoring, and memory management using `psutil`. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the bundle functions entirely as described in its documentation.
能力评估
Purpose & Capability
Name/description (minimalist Socratic engine + multi-model debate) matches the provided code: socratic_engine_v4, idea_debater_v4, orchestrator_v4 and gateway implement the stated functionality. There are no unrelated required env vars, binaries, or surprising dependencies declared.
Instruction Scope
SKILL.md and gateway code describe keyword-based automatic triggering and provide a main entry (process_with_uniskill_v4). The runtime instructions and code do not read secrets or system configuration beyond inserting a package path and importing local modules. INTEGRATION.md and the gateway refer to a specific OpenClaw workspace path (~/.openclaw/workspace/skills/universal-skill/core_v4) — this is an integration hint (path insertion), not an explicit request for unrelated files, but it is something to be aware of. Comments/TODOs mention future integration with sessions_spawn / local or cloud models (i.e., external model calls are planned but not implemented).
Install Mechanism
There is no install spec in the registry metadata (instruction-only skill) and no remote download URLs. The package contains source files only. No high-risk download/extract steps are present in the manifest.
Credentials
The skill declares no required environment variables or credentials. The code uses model identifiers as role names (glm-5, qwen3.5-plus, kimi-k2.5) but the implementation currently uses heuristic/local scoring and contains TODOs where real model invocation could be added. No unexpected credential or secret names are requested.
Persistence & Privilege
always:false (normal). The skill is designed to be triggerable automatically by keyword matches (gateway.should_trigger) — this behavior can cause the agent to run the skill for matching user inputs without an explicit manual invocation. Autonomous invocation is the platform default; consider whether automatic keyword triggers are acceptable in your environment.
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 uniskill-v4
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /uniskill-v4 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
v4.1.0
Major reduction in codebase size and further simplification of core features. - Code reduced from 8,771 to 260 lines, retaining only core modules (Socratic engine, multi-model debate, orchestrator). - Automatic trigger logic detailed for common evaluation and decision scenarios. - Clarified quick start usage examples for demand analysis and multi-model debates. - Clear comparison with previous version (fewer modules, faster startup). - Focused on minimalist philosophy: kept essential methods, removed redundant components and templates.
元数据
Slug uniskill-v4
版本 4.1.0
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

UniSkill V4 是什么?

极简AI Agent框架 - 3%解决方案。从8771行精简到1000行,保留苏格拉底探明+多模型辩论核心方法论。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。

如何安装 UniSkill V4?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install uniskill-v4」即可一键安装,无需额外配置。

UniSkill V4 是免费的吗?

是的,UniSkill V4 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

UniSkill V4 支持哪些平台?

UniSkill V4 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 UniSkill V4?

由 Timo2026(@timo2026)开发并维护,当前版本 v4.1.0。

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