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Agent Skill · 研究检索

solo-validate(单独验证)

solo-validate 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

solo-validate 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,599。

总安装 21,624周安装 901GitHub Stars 公开资料未说明下载 7,208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-0
版本
2.1.1

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:solo-validate(单独验证)
来源仓库:https://github.com/fortunto2/solo-validate
安装命令:
openclaw skills install solo-validate
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install solo-validate

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。

通过 S.E.E.D 模型评估创业想法利基可行性。结合 STREAM 六层分析与魔鬼代言人反演全面检验假设。自动生成带验收标准的 PRD 降低需求模糊性。输出包含技术栈推荐与 MVP 范围界定建议。验证结果受输入质量影响需确保原始信息准确。

solo-validate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 OpenClaw;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 openclaw skills install solo-validate;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

    它需要调用外部服务,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

solo-validate 怎么安装?

在终端执行 openclaw skills install solo-validate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

solo-validate 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

solo-validate 需要什么权限?

权限级别是调用外部服务。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。

solo-validate 是免费的吗?

来源标注的许可证是 MIT-0。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。

solo-validate 用的人多吗?

公开数据是累计安装 21,624 次,近一周安装 901 次,下载 7,208 次。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。

solo-validate 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,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
solo-validate

单独验证 · 本页

21,624—调用外部服务MIT-0有提醒

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

name
solo-validate
description
Score startup idea through S.E.E.D. niche check + STREAM 6-layer analysis + Devil's Advocate inversion, auto-pick stack, and generate PRD with acceptance criteria. Use when user says "validate idea", "score this idea", "should I build this", "go or kill", "generate PRD", or "evaluate opportunity". Do NOT use for deep research (use /research first) or decision-only framework (use /stream).
license
MIT
metadata
author
fortunto2
version
2.1.1
openclaw
emoji
✅
allowed-tools
Read, Grep, Bash, Glob, Write, Edit, AskUserQuestion, WebSearch, mcp__solograph__kb_search, mcp__solograph__project_info, mcp__solograph__web_search
argument-hint
[idea name or description]

/validate

Validate a startup idea end-to-end: search KB, run Manifest alignment, S.E.E.D. niche check, Devil's Advocate inversion, STREAM 6-layer analysis, pick stack, generate PRD.

Philosophy: Validation should be honest, not optimistic. Better to kill a bad idea in 5 minutes than waste 3 months building it. The goal is truth, not encouragement.

MCP Tools (use if available)

If MCP tools are available, prefer them over CLI:

  • kb_search(query, n_results) — search knowledge base for related docs
  • project_info() — list active projects with stacks
  • web_search(query) — search for dead startups, competitor failures

If MCP tools are not available, fall back to Grep/Glob/WebSearch.

Steps

  1. Parse the idea from $ARGUMENTS. If empty, ask the user what idea they want to validate.
  1. Search for related knowledge:

If MCP kb_search tool is available, use it directly: - kb_search(query="<idea keywords>", n_results=5) Otherwise search locally: - Grep for idea keywords in .md files across the project and knowledge base Summarize any related documents found (existing ideas, frameworks, opportunities).

  1. Deep research (optional): Check if research.md exists for this idea (look in docs/ or the current working directory).

- If it exists: read it and use findings to inform STREAM analysis and PRD filling (competitors, pain points, market size). - If it does not exist: ask the user if they want to run deep research first. If yes, tell them to run /research <idea> and come back. If no, continue without it.

  1. Manifest Alignment Check (with teeth):

Consult references/manifest-checklist.md (bundled with this skill) for the full checklist of 9 principles and 6 red flags. Check the idea against EACH one. This is not a formality — a manifest violation is a soft kill flag.

For each principle, assess: comply or violate? If violating — cite the specific principle.

Key principles (see checklist for details): 1. Privacy-first / offline-first 2. One pain -> one feature -> launch 3. AI as foundation, not feature 4. Speed over perfection (MVP in days) 5. Antifragile architecture 6. Money without overheating 7. Against exploitation 8. Subscription fatigue 9. Creators, not robots

Scoring: 0 violations = perfect, 1-2 = caution, 3+ = strong KILL signal.

Be honest. If the idea conflicts with principles, SAY SO. Don't rationalize alignment.

  1. S.E.E.D. niche check (quick, before deep analysis):

Score the idea on four dimensions: - S — Searchability: Can you rank? Forums/Reddit in top-10, few fresh giants, no video blocks? - E — Evidence: Real pain with real quotes/URLs? Or hypothetical? - E — Ease: MVP in 1-2 days on existing stack? No heavy dependencies? - D — Demand: Long-tail keywords exist? Clear monetization path?

Kill flags (stop immediately if any): - Top-10 SERP dominated by media giants or encyclopedias - Fresh competing content (<60 days old) already covers it well - No evidence of real user pain (only founder's hypothesis) - MVP needs >1 week even on best-fit stack

If any kill flag triggers → recommend KILL with explanation. Don't proceed to STREAM.

  1. Devil's Advocate (Inversion):

> "Flip the question: how would you guarantee failure?" — STREAM Layer 3 (Inversion)

This step is mandatory — before scoring positively, actively try to kill the idea. The goal is to find reasons NOT to build it.

6a. Inversion — 5 ways this fails: List 5 specific, concrete ways this idea could fail. Not generic risks ("competition") but specific scenarios with evidence: - What specific competitor could crush this? (name, funding, strategy) - What user behavior makes this unviable? (churn data, willingness to pay) - What regulatory/legal event kills this? (specific laws, precedents) - What technical limitation blocks this? (latency, cost, accuracy) - What market dynamic makes the "opportunity" a mirage?

6b. Dead startup search: Search for startups that tried something similar and failed or pivoted: - WebSearch: "<idea category>" startup failed OR pivoted OR shut down - WebSearch: "<competitor>" pivot OR layoffs OR shutdown - If any found: what killed them? Does the same risk apply here?

6c. Unit economics stress test (if research.md exists): Recalculate unit economics with PESSIMISTIC assumptions:

MetricOptimisticRealisticPessimistic
Monthly churn10%30-40% (industry data)50%+ (first year)
Average lifetime10 months2.5-3 months1.5 months
LTV(price × 10)(price × 2.5)(price × 1.5)
CAC<$20$30-50$50-80
LTV:CAC>3:1~1:1<1:1 (UNPROFITABLE)

If pessimistic LTV:CAC < 1 → flag as critical risk.

6d. "Empty market" test: If the analysis found an "empty" market segment or pricing gap, ask: - Why is it empty? Is it opportunity or graveyard? - Search for companies that tried this exact positioning and failed - Is the segment empty because demand doesn't exist at that price point?

6e. Manifest conflict honesty: Re-check findings from step 4. For each manifest violation found, state the conflict clearly: "This requires X, which violates principle Y because Z." Do NOT rationalize conflicts away. The user decides whether to proceed — not the skill.

  1. STREAM analysis: Walk the idea through all 6 layers.

Consult references/stream-layers.md (bundled with this skill) for the complete 6-layer framework with questions per layer.

For EACH layer, provide BOTH positive and negative assessment. Use the actual framework questions: - Layer 1 (Scope): Map!=Territory, Simplicity, Boundaries — what assumptions are unproven? - Layer 2 (Time): Entropy, Lindy — will this exist in 5 years? - Layer 3 (Route): Inversion (use Devil's Advocate findings), Second-Order Effects — effects of effects? - Layer 4 (Stakes): Asymmetry, Antifragility — real risk/reward with pessimistic numbers - Layer 5 (Audience): Reputation, Network — deposit or withdrawal? - Layer 6 (Meta): Mortality, Balance — worth finite time? Aligns with mission?

Scoring rules: - Each layer scored 1-10 - If Devil's Advocate found critical issues, the affected layer score MUST be reduced - If Manifest alignment has violations, Layer 6 (Meta) score MUST be reduced - Final score = weighted average (Meta and Stakes weighted 1.5x)

  1. Stack selection: Auto-detect from research data, then confirm or ask.

Auto-detection rules (from research.md product_type field or idea keywords): - product_type: ios → ios-swift - product_type: android → kotlin-android - product_type: web + mentions AI/ML → nextjs-supabase (or nextjs-ai-agents) - product_type: web + landing/static → astro-static - product_type: web + content site + needs SSR for some pages (CDN data, transcripts, dynamic) → astro-hybrid - product_type: web (default) → nextjs-supabase - product_type: api → python-api - product_type: cli + Python keywords → python-ml - product_type: cli + JS/TS keywords → nextjs-supabase (monorepo) - Edge/serverless keywords → cloudflare-workers

If auto-detected with high confidence, state the choice and proceed. If ambiguous (e.g., could be web or mobile), ask via AskUserQuestion with the top 2-3 options. If MCP project_info is available, show user's existing stacks as reference.

  1. Generate PRD: Create a PRD document at docs/prd.md in the current project directory. Use a kebab-case project name derived from the idea.

PRD must pass Definition of Done: - [ ] Problem statement ≥ 30 words (who suffers, when, why now) - [ ] ICP + JTBD — target segment + 2-3 jobs-to-be-done - [ ] 3-5 features, each with measurable acceptance criteria - [ ] 3-5 KPIs with units (daily/weekly) and target values - [ ] Kill/Iterate/Scale thresholds for each KPI - [ ] 3-5 risks with mitigation plans - [ ] Honest Assessment section (from Devil's Advocate step) - [ ] Unit economics: optimistic AND pessimistic (both columns) - [ ] Dead startup precedents (who tried this and failed?) - [ ] Manifest conflicts (explicit list of principle violations) - [ ] Tech stack with key packages - [ ] Architecture principles (SOLID, DRY, KISS, schemas-first) - [ ] Evidence-first — numbers/claims have source URLs (from research.md if available)

  1. Output summary:

- Idea name and one-liner - S.E.E.D. score (S/E/E/D each rated low/medium/high) - Manifest alignment (X/9 principles met, list violations) - Two scores: - Optimistic score (0-10): best-case assumptions - Realistic score (0-10): pessimistic unit economics, real churn, funded competitors - Devil's Advocate top finding (the single strongest reason NOT to build) - Key risk and key advantage - Path to generated PRD - "If I'm wrong about..." — state the single assumption that, if wrong, changes the verdict - Recommended next action (one of): - /research <idea> — if evidence is weak, get data first - /scaffold <name> <stack> — if realistic score ≥ 7, build it - Fake-Door Test — if realistic score 5-7, spend $20 on a landing stub before coding - KILL — if realistic score < 5 or kill flags triggered - PIVOT — if the idea has merit but current angle fails (suggest specific pivot)

Important

  • Do NOT skip the Devil's Advocate step (step 6). It is mandatory.
  • Do NOT skip reading references/manifest-checklist.md and references/stream-layers.md (bundled with this skill). They contain the actual checklists.
  • Quality and honesty are more important than speed. Take your time on steps 4, 6, and 7.
  • A KILL recommendation is a valid and valuable outcome. It saves months of wasted effort.

When to use

  • Before building anything non-trivial
  • After /research or /swarm to score and generate PRD
  • When deciding between multiple ideas (run on each, compare realistic scores)
  • When friends ask for feedback on their startup (be honest, not nice)

Common Issues

S.E.E.D. kill flag triggered

Cause: Idea fails basic niche viability (SERP dominated, no evidence, MVP too complex). Fix: This is by design — kill flags save time. Consider pivoting the idea or running /research for deeper evidence.

No research.md found

Cause: Skipped /research step. Fix: Skill asks if you want to research first. For stronger PRDs, run /research <idea> before /validate.

Stack auto-detection wrong

Cause: Ambiguous product type (could be web or mobile). Fix: Skill asks via AskUserQuestion when ambiguous. Specify product type explicitly in the idea description.

Score seems too high

Cause: Confirmation bias — you found evidence FOR and stopped looking. Fix: Devil's Advocate step is now mandatory. If you skipped it, the score is invalid. Re-run with full inversion.

Manifest conflicts rationalized away

Cause: The idea is exciting but conflicts with principles. Fix: State conflicts explicitly. "This violates X because Y" is more useful than silence. The user decides whether to proceed — not the skill.

平台分布

OpenClaw

74.11%
按下载量换算5,342

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

调用外部服务

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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