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Agent Skill · 研究检索

ai-tool-assessment(AI 工具评估)

ai-tool-assessment 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。

ai-tool-assessment 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 56,238。

总安装 461周安装 19GitHub Stars 8下载 150核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:ai-tool-assessment(AI 工具评估)
来源仓库:https://github.com/vamseeachanta/workspace-hub
仓库路径:skills/ai-tool-assessment
安装命令:
npx skills add https://github.com/vamseeachanta/workspace-hub --skill ai-tool-assessment
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/vamseeachanta/workspace-hub --skill ai-tool-assessment

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

AI Tool Assessment 评估 AI 工具订阅使用情况与成本效益,生成优化建议报告。适用于企业内多 AI 服务(如 ChatGPT、Claude、Midjourney)的使用分析与预算审查。通过结构化问卷收集使用模式,识别闲置服务并提出整合或替换方案。

报告保存于 reports/ai-tool-assessment/ 目录,建议结合财务数据综合决策。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ai-tool-assessment

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/vamseeachanta/workspace-hub --skill ai-tool-as…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ai-tool-assessment 怎么安装?

在终端执行 npx skills add https://github.com/vamseeachanta/workspace-hub --skill ai-tool-assessment。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-tool-assessment 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ai-tool-assessment 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

ai-tool-assessment 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-tool-assessment 用的人多吗?

公开数据是累计安装 461 次,近一周安装 19 次,下载 150 次,GitHub 8 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ai-tool-assessment 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ai-tool-assessment

AI 工具评估 · 本页

4618只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

AI Tool Usage Assessment

Assess and report on AI tool subscriptions, usage patterns, and cost-effectiveness.

Overview

This skill provides a structured framework for evaluating AI tool subscriptions, identifying underutilized services, and optimizing AI-related spending. It generates comprehensive reports with actionable recommendations.

Quick Start

  1. Trigger assessment - Ask to "assess AI tools" or "review AI subscriptions"
  2. Answer questions - Provide usage patterns when asked
  3. Review report - Generated at reports/ai-tool-assessment/assessment-YYYYMMDD.md
  4. Take action - Follow recommendations for optimization
# View latest assessment
cat reports/ai-tool-assessment/assessment-$(date +%Y%m%d).md

# List all assessments
ls -la reports/ai-tool-assessment/

When to Use

  • Monthly subscription reviews
  • Quarterly budget planning
  • When evaluating new AI tools
  • After significant workflow changes
  • Cost optimization initiatives
  • Annual AI strategy reviews

Trigger

User asks to assess AI tools, review AI subscriptions, or analyze AI tool usage.

Instructions

When triggered, perform the following assessment:

1. Subscription Inventory

Review current paid memberships from docs/AI_development_tools.md:

ServicePlanMonthly CostAnnual Cost
Claude (Anthropic)Max Plan$106.60$1,279.20
OpenAIChatGPT Plus$21.28$255.36
Google AIPro$19.99$239.88
GitHub CopilotPro$8.88/mo$106.60
TOTAL$156.75$1,881.04

2. Tool Usage Analysis

Assess each tool category:

Primary AI Assistants:

  • Claude Max: Code generation, complex reasoning, long-context tasks
  • OpenAI Plus: Alternative perspective, GPT-4o access, DALL-E
  • Google AI Pro: Gemini access, Google ecosystem integration

Development Tools:

  • GitHub Copilot: Inline code completion, IDE integration
  • Claude-flow: Multi-agent orchestration
  • Factory.ai: Automated droids for CI/CD
  • Google Antigravity: Agent-first IDE (in evaluation)

3. Generate Assessment Report

Create report at reports/ai-tool-assessment/assessment-YYYYMMDD.md with:

# AI Tool Usage Assessment - [DATE]

## Executive Summary
- Total monthly spend: $X
- Primary tools in active use: [list]
- Tools underutilized: [list]
- Recommended actions: [list]

## Subscription Status
[Table of all subscriptions with renewal dates if known]

## Usage Patterns
[Analysis of which tools are used for what purposes]

## Cost-Effectiveness Analysis
| Tool | Cost/Month | Usage Level | Value Rating |
|------|------------|-------------|--------------|
| ... | ... | High/Medium/Low | 1-5 stars |

## Overlap Analysis
[Identify redundant capabilities across tools]

## Recommendations
1. [Keep/Cancel/Downgrade recommendations]
2. [Usage optimization suggestions]
3. [New tools to consider]

## Next Review Date
[Set quarterly review schedule]

4. Questions to Ask User

Before generating report, ask:

  1. Which tools have you used most this month?
  2. Are there specific tasks where one tool excels?
  3. Any tools you haven't used in 30+ days?
  4. New capabilities you need that current tools lack?

Execution Checklist

Before assessment:

  • Access to subscription documentation
  • User available for questions
  • Previous assessments reviewed (if any)

During assessment:

  • All subscriptions inventoried
  • Usage patterns documented
  • Cost-effectiveness analyzed
  • Overlap identified
  • User questions asked

After assessment:

  • Report generated in correct location
  • Recommendations prioritized
  • Next review date set
  • Source docs updated if needed

Error Handling

Common Issues

Error: Missing subscription data

  • Cause: docs/AI_development_tools.md not found or outdated
  • Solution: Ask user for current subscription list, create/update doc

Error: Incomplete usage data

  • Cause: User unsure about usage patterns
  • Solution: Suggest tracking usage for 2 weeks before full assessment

Error: Can't determine value

  • Cause: Tool usage overlaps with others
  • Solution: Run overlap analysis first, identify unique value per tool

Error: Outdated pricing

  • Cause: Subscription costs changed
  • Solution: Verify current pricing on vendor websites

Output

  • Assessment report in reports/ai-tool-assessment/
  • Updated docs/AI_development_tools.md if status changes
  • Summary printed to console

Metrics

MetricTargetHow to Measure
Cost per active tool<$50/moTotal spend / tools used weekly
Utilization rate>70%Tools used / tools subscribed
Value rating average>3.5/5Average across all tools
Overlap reduction<20%Redundant capabilities identified
Assessment frequencyQuarterlyDays since last assessment

Report Templates

Executive Summary Template

## Executive Summary

**Assessment Date:** YYYY-MM-DD
**Review Period:** [Month/Quarter]
**Total Monthly Spend:** $XXX.XX

### Key Findings
1. [Primary finding]
2. [Secondary finding]
3. [Tertiary finding]

### Immediate Actions Required
- [ ] [Action 1]
- [ ] [Action 2]

### Long-term Recommendations
1. [Recommendation with timeline]
2. [Recommendation with timeline]

Tool Comparison Template

## Tool Comparison Matrix

| Capability | Claude | OpenAI | Google | Copilot |
|------------|--------|--------|--------|---------|
| Code Generation | ★★★★★ | ★★★★☆ | ★★★☆☆ | ★★★★☆ |
| Long Context | ★★★★★ | ★★★☆☆ | ★★★★☆ | N/A |
| IDE Integration | ★★★★☆ | ★★☆☆☆ | ★★★☆☆ | ★★★★★ |
| Cost Value | ★★★☆☆ | ★★★★☆ | ★★★★★ | ★★★★★ |

Best Practices

  1. Regular cadence - Assess quarterly at minimum
  2. Track trends - Compare assessments over time
  3. User feedback - Include qualitative input
  4. Trial before commit - Use free tiers to evaluate
  5. Document decisions - Record why tools kept/cancelled
  6. Consider switching costs - Factor in workflow disruption

Related Skills


Version History

  • 2.0.0 (2026-01-02): Upgraded to v2 template - added Quick Start, When to Use, Execution Checklist, Error Handling, Metrics sections; enhanced frontmatter with version, category, related_skills
  • 1.0.0 (2024-10-15): Initial release with subscription inventory, usage analysis, cost-effectiveness reporting, recommendation framework

平台分布

Claude Code

26.55%
按下载量换算40

windsurf

23.12%
按下载量换算35

trae

17.95%
按下载量换算27

OpenCode

13.57%
按下载量换算20

Cursor

8.43%
按下载量换算13

Codex

3.52%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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