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create-tooluniverse-skillcreate tooluniverse 技能

Agent Skill

create-tooluniverse-skill 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,098

周安装

219

GitHub Stars

1,304

下载量

1,787
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-tooluniverse-skill(create tooluniverse 技能)
来源仓库:https://github.com/mims-harvard/tooluniverse
仓库路径:skills/create-tooluniverse-skill
安装命令:
npx skills add https://github.com/mims-harvard/tooluniverse --skill create-tooluniverse-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mims-harvard/tooluniverse --skill create-tooluniverse-skill

简介

用于系统化创建 ToolUniverse 技能,遵循测试优先与证据分级原则。

  • 涵盖工具契约验证、SOAP 接口支持与故障降级机制的全流程开发指南。
  • 使用时需按阶段提交用例、触发词与范围定义,确保技能可复用性强。
  • 建议结合量化指标评估技能完整性,避免文档与实现不一致的问题。
  • create-tooluniverse-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Create ToolUniverse Skill

Systematic workflow for creating production-ready ToolUniverse skills.

Core Principles

Build on the 10 pillars from devtu-optimize-skills:

  1. TEST FIRST - never document untested tools
  2. Verify tool contracts - don't trust function names
  3. Handle SOAP tools - add operation parameter
  4. Implementation-agnostic docs - no Python/MCP code in SKILL.md
  5. Foundation first - query aggregators before specialized tools
  6. Disambiguate carefully - resolve IDs properly
  7. Implement fallbacks - Primary -> Fallback -> Default
  8. Grade evidence - T1-T4 tiers on claims
  9. Quantified completeness - numeric minimums per section
  10. Synthesize - models and hypotheses, not just lists

See OPTIMIZE_INTEGRATION.md for detailed application of each pillar.

7-Phase Workflow

PhaseDurationDescription
1. Domain Analysis15 minUnderstand use cases, data types, analysis phases
2. Tool Discovery30-45 minSearch, read configs, test tools (MANDATORY)
3. Tool Creation0-60 minCreate missing tools via devtu-create-tool
4. Implementation30-45 minWrite python_implementation.py with tested tools
5. Documentation30-45 minWrite SKILL.md (agnostic) + QUICK_START.md
6. Validation15-30 minRun test suite, validate checklist, manual verify
7. Packaging15 minCreate summary, update tracking

Total: ~1.5-2 hours (without tool creation).

Phase 1: Domain Analysis

  • Gather concrete use cases and expected outputs
  • Identify inputs, outputs, and intermediate data types
  • Break workflow into logical phases
  • Review existing skills in skills/ for patterns

Phase 2: Tool Discovery and Testing

Search tools in /src/tooluniverse/data/*.json (186 tool files). For each tool, read its config to understand parameters and return schema. See PARAMETER_VERIFICATION.md for common pitfalls.

Create and run a test script using test_tools_template.py. For each tool: call with known-good params, verify response format, document corrections. See TESTING_GUIDE.md for the full test suite template and procedures.

Phase 3: Tool Creation (If Needed)

Invoke devtu-create-tool when required functionality is missing and analysis is blocked. Use devtu-fix-tool if new tools fail tests.

Phase 4: Implementation

Create skills/tooluniverse-[domain]/ with:

  • python_implementation.py - use only tested tools, try/except per phase, progressive report writing
  • test_skill.py - test each input type, combined inputs, error handling

Use templates from CODE_TEMPLATES.md.

Phase 5: Documentation

Write implementation-agnostic SKILL.md using SKILL_TEMPLATE.md. Write multi-implementation QUICK_START.md using QUICKSTART_TEMPLATE.md. Key rules: zero Python/MCP code in SKILL.md, equal treatment of both interfaces in QUICK_START.

See IMPLEMENTATION_AGNOSTIC.md for format guidelines with examples.

Phase 6: Validation

Run the comprehensive test suite (see TESTING_GUIDE.md). Validate against VALIDATION_CHECKLIST.md. Perform manual verification: load ToolUniverse fresh, copy-paste QUICK_START example, verify output works.

Phase 7: Packaging

Create summary document using PACKAGING_TEMPLATE.md. Update session tracking if creating multiple skills.

Skill Integration

SkillWhen to Use
devtu-create-toolCritical functionality missing
devtu-fix-toolTool returns errors or unexpected format
devtu-optimize-skillsEvidence grading, report optimization

Quality Indicators

High quality: 100% test coverage before docs, agnostic SKILL.md, multi-implementation QUICK_START, fallback strategies, parameter corrections table, response format docs.

Red flags: Docs before testing, Python in SKILL.md, assumed parameters, no fallbacks, SOAP tools missing operation, no test script.

Reference Files

FileContent
SKILL_TEMPLATE.mdTemplate for writing SKILL.md
QUICKSTART_TEMPLATE.mdTemplate for writing QUICK_START.md
TESTING_GUIDE.mdTest suite template and procedures
VALIDATION_CHECKLIST.mdPre-release quality checklist
PACKAGING_TEMPLATE.mdSummary document template
PARAMETER_VERIFICATION.mdTool parameter verification guide
OPTIMIZE_INTEGRATION.mddevtu-optimize-skills 10-pillar integration
IMPLEMENTATION_AGNOSTIC.mdImplementation-agnostic format guide with examples
CODE_TEMPLATES.mdPython implementation and test templates
test_tools_template.pyTool testing script template

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

39.52%
按下载量换算706

Claude

28.26%
按下载量换算505

Cursor

19.66%
按下载量换算351

Gemini CLI

9.87%
按下载量换算176

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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