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Agent Skill · 研究检索

business-evaluation(业务评估)

business-evaluation 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。

business-evaluation 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,权限为需要联网;许可证信息还不明确,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 53,170。

总安装 539周安装 22GitHub Stars 6下载 174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
unknown

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:business-evaluation(业务评估)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/business-evaluation
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill business-evaluation
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/duc01226/easyplatform --skill business-evaluation

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。

执行分步骤的业务评估流程并跟踪每项任务的完成状态。严格按声明顺序执行技能步骤,禁止跳过或合并操作节点。每个步骤必须提供完成证据或明确的跳过理由说明。business-evaluation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。当外部工具不可用时需创建等效的任务进度跟踪机制。

复杂工作前应先使用 TaskCreate 分解为最小可执行单元。

来源仓库内路径:skills/business-evaluation

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/duc01226/easyplatform --skill business-evaluat…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

business-evaluation 怎么安装?

在终端执行 npx skills add https://github.com/duc01226/easyplatform --skill business-evaluation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

business-evaluation 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。

business-evaluation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

business-evaluation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

business-evaluation 用的人多吗?

公开数据是累计安装 539 次,近一周安装 22 次,下载 174 次,GitHub 6 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。

business-evaluation 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
business-evaluation

业务评估 · 本页

5396需要联网未明确通过

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

[BLOCKING] Execute skill steps in declared order. NEVER skip, reorder, or merge steps without explicit user approval. [BLOCKING] Before each step or sub-skill call, update task tracking: set in_progress when step starts, set completed when step ends. [BLOCKING] Every completed/skipped step MUST include brief evidence or explicit skip reason. [BLOCKING] If Task tools are unavailable, create and maintain an equivalent step-by-step plan tracker with the same status transitions.
[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting.
External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file in plans/reports/ — prevents context loss and serves as deliverable.
Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires file:line proof or traced evidence with confidence percentage (>80% to act, <80% must verify first).
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
AI Mistake Prevention — Failure modes to avoid on every task: - Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. - Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. - Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. - Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. - When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. - Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. - Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. - Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. - Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. - Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

Quick Summary

Goal: Evaluate business idea viability with BMC, financials, risk matrix, GTM, and execution plan.

Workflow:

  1. Capture idea — Problem, solution, target customer
  2. Load market analysis — Market data from market-analysis
  3. Business Model Canvas — All 9 blocks with evidence
  4. Financial projections — 3-year revenue, costs, break-even
  5. Risk assessment — 5+ risks with mitigation
  6. Execution plan — 3 phases with milestones
  7. Verdict — Viability score, confidence, recommendation

Key Rules:

  • All 9 BMC blocks required, each with evidence
  • Financial projections: explicit assumptions table
  • Minimum 5 risks with mitigation AND residual risk
  • Verdict must be evidence-backed with confidence declaration

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Business Evaluation

Step 1: Capture the Idea

From user input, extract:

  • One-liner — Elevator pitch in 1 sentence
  • Problem — What pain point does it solve?
  • Solution — How does it solve it?
  • Target customer — Who specifically benefits?

Step 2: Business Model Canvas

All 9 blocks required:

BlockKey QuestionEvidence Required
Customer SegmentsWho are we serving?Market research
Value PropositionsWhat value do we deliver?Customer pain points
ChannelsHow do we reach customers?Channel analysis
Customer RelationshipsHow do we maintain relationships?Retention strategy
Revenue StreamsHow do we make money?Pricing research
Key ResourcesWhat do we need?Resource assessment
Key ActivitiesWhat must we do?Operational analysis
Key PartnershipsWho helps us?Partner landscape
Cost StructureWhat does it cost?Cost analysis

Step 3: Financial Projections (3 Years)

Revenue Model

YearUsers/CustomersARPURevenueGrowth

Cost Structure

CategoryY1Y2Y3

Break-Even

  • Monthly burn: ${X}
  • Break-even point: Month/Year
  • Funding needed: ${X}

Assumptions Table

Every number must list its assumption and source.

Step 4: Risk Assessment

Minimum 5 risks:

RiskLikelihoodImpactMitigationResidual Risk

Categories to consider: market, execution, financial, competitive, regulatory, technical.

Step 5: Execution Plan

PhaseTimelineFocusKey Milestones
Validation0-3 monthsCustomer discovery, MVPN interviews, prototype
Build3-6 monthsCore product, early usersBeta launch, first revenue
Growth6-12 monthsScale, optimizeRevenue target, team size

Step 6: Go-to-Market

  • Launch strategy — How to enter the market
  • Initial channels — Top 3 acquisition channels
  • Pricing strategy — Model + rationale + competitive comparison

Step 7: Verdict

  • Viability score: 1-10 with rationale
  • Confidence: 95%/80%/60%/<60% with evidence basis
  • Recommendation: Pursue | Pivot | Pause | Pass
  • Key condition: What must be true for this to succeed?

Output

Write to docs/knowledge/strategy/business/{descriptive-slug}.md using enforced template from .claude/templates/business-evaluation-template.md.


Next Steps

MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS after completing this skill, you MUST ATTENTION use AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:

  • "/domain-analysis (Recommended)" — Analyze domain model from business evaluation
  • "/plan" — If ready to plan implementation
  • "Skip, continue manually" — user decides

Closing Reminders

MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting. MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide. MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality.

  • MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
  • MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.

[IMPORTANT] Analyze how big the task is and break it into many small todo tasks systematically before starting — this is very important.

Prompt-Enhance Closing Anchors

  • IMPORTANT MUST ATTENTION follow declared step order for this skill; NEVER skip, reorder, or merge steps without explicit user approval
  • IMPORTANT MUST ATTENTION for every step/sub-skill call: set in_progress before execution, set completed after execution
  • IMPORTANT MUST ATTENTION every skipped step MUST include explicit reason; every completed step MUST include concise evidence
  • IMPORTANT MUST ATTENTION if Task tools unavailable, maintain an equivalent step-by-step plan tracker with synchronized statuses

平台分布

Codex

33.92%
按下载量换算59

Claude

33.35%
按下载量换算58

Cursor

20%
按下载量换算35

Gemini CLI

10.25%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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