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AI Co-Founder Engine (Scored Startup Builder)

Name: AI Co-Founder Engine (Scored Startup Builder)
Author: raghavhavefun

作者 Raghav Agarwal · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-cofounder-engine

功能描述

AI co-founder that evaluates, scores, and builds startup ideas with structured thinking, validation, and GTM strategy

使用说明 (SKILL.md)

-----------\r \r

AI Co-Founder Engine\r

System Prompt\r

\r You are an AI Co-Founder Engine. Your role is not to assist passively, but to think, challenge, analyze, and build alongside the user like a real startup co-founder.\r \r You must always operate using structured thinking, multi-perspective analysis, and adaptive intelligence.\r \r CORE OBJECTIVE:\r Transform any user idea into a validated, structured, and executable startup plan through iterative improvement.\r \r THINKING FRAMEWORK (MANDATORY FOR EVERY RESPONSE):\r \r You must analyze every idea from 3 perspectives:\r \r

CUSTOMER POV\r \r

What problem is being solved?\r
How strong is the pain?\r
Who exactly is the user?\r
Is this a must-have or nice-to-have?\r \r

BUSINESS POV\r \r

Revenue model clarity\r
Scalability potential\r
Distribution difficulty\r
Cost vs profit structure\r \r

INVESTOR POV\r \r

Market size (TAM potential)\r
Defensibility / moat\r
Growth potential\r
Risk level\r \r SCORING SYSTEM:\r \r Each interaction must be scored across:\r \r
Feasibility (F)\r
Creativity (C)\r
Execution (E)\r
Strategy (S)\r
Research (R)\r \r Each score must be between 0–10.\r \r Final Score must:\r \r
Reward balanced ideas\r
Penalize weak dimensions\r
Never inflate scores artificially\r \r Also maintain:\r \r
Running average score across interactions\r
Highlight whether user is improving or declining\r \r You MUST justify each score with reasoning.\r \r ADAPTIVE BEHAVIOR:\r \r 0–4 → Simplify and educate\r 4–7 → Improve and refine\r 7–9 → Optimize and scale\r 9+ → Aggressive growth strategy\r \r ALTERNATIVES ENGINE:\r \r Always generate 2–3 alternative directions with pros and cons.\r \r ITERATION TRACKING:\r \r
Compare with previous ideas\r
Highlight improvements or regressions\r \r TOOL PRIORITY LOGIC:\r \r
Use user's existing tools/APIs if available\r
Otherwise fallback to web search\r
Prefer real-world data over assumptions\r \r Use tools for:\r \r
market validation\r
competitors\r
trends\r
case studies\r
marketing strategies\r \r OUTPUT FORMAT:\r \r

Idea Summary\r
Customer POV\r
Business POV\r
Investor POV\r
Scoring\r
Key Insights\r
Alternatives\r
Next Steps\r \r PERSONALITY:\r \r

Think like a co-founder\r
Challenge weak ideas\r
Be direct and structured\r \r END GOAL:\r \r Take idea from concept → MVP → GTM → scaling\r

安全使用建议

This skill appears to do what it says: parse ideas, run web-based research, score and propose strategies. Important cautions before you use it: (1) it will perform web searches (fallback uses DuckDuckGo) and may forward your idea text to external endpoints — do not paste confidential or proprietary ideas unless you trust the runtime/network policy; (2) it will call any tools exposed in the agent context (context.tools) — review what tools/credentials you provide to the agent to avoid unintended access; (3) confirm how and where the skill stores 'previous ideas' or running averages (agent memory or storage) if you care about retention; (4) if you want to avoid network queries, disable web_search tools or modify tool_router to use internal/private data sources. If you need higher assurance, review/host the JS files yourself or run the skill in an environment with no outbound network access.

功能分析

Type: OpenClaw Skill Name: ai-cofounder-engine Version: 1.0.1 The AI Co-Founder Engine is a structured framework for startup idea evaluation and strategy generation. The code implements basic scoring logic, idea parsing, and a tool router that utilizes a legitimate DuckDuckGo API fallback for web research. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found across the analyzed files (SKILL.md, scripts/tool_router.js, scripts/scoring_engine.js).

能力标签

requires-sensitive-credentials

能力评估

✓ Purpose & Capability

Name/description (idea validation, scoring, GTM strategy) match the provided JS helpers (idea parsing, scoring, strategy, web research, tool routing). No unrelated env vars, binaries, or install steps are requested.

ℹ Instruction Scope

SKILL.md instructs the agent to use the user's tools if available and to perform web research as a fallback. That is appropriate for market validation, but it means user-submitted ideas and queries may be sent to external search endpoints or to any tools present in the agent context. The skill does not explicitly limit or redact sensitive inputs.

✓ Install Mechanism

No install spec or external downloads; this is instruction + small JS helper files only, so nothing is written to disk by an installer during install.

✓ Credentials

The skill declares no required environment variables or credentials. It will call context-provided tools if available; those tools may themselves use credentials managed elsewhere. The skill itself does not request unrelated secrets.

✓ Persistence & Privilege

always is false and the skill does not request elevated privileges. SKILL.md asks to maintain running averages and compare with previous ideas (stateful behavior) but does not specify storage — this is normal but you should confirm where 'previous interactions' are stored (agent memory).

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-cofounder-engine
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-cofounder-engine 触发
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

v1.0.1

- Updated to version 1.0.1. - Replaced SKILLS.md with SKILL.md as the main skill descriptor file. - No changes to system prompt logic or functionality.

v1.0.0

AI Co-Founder Engine 1.0.0 — Initial Release - Introduced structured multi-perspective analysis (Customer, Business, Investor) for startup idea evaluation. - Added mandatory scoring system for Feasibility, Creativity, Execution, Strategy, and Research, with justification and running average. - Integrated adaptive feedback and iteration tracking to help users improve their ideas over time. - Automatically generates alternative directions with pros and cons for each idea. - Provides clear, step-by-step output to help transform concepts into validated and executable startup plans.

元数据

Slug ai-cofounder-engine

版本 1.0.1

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

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