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Agent Skill · 研究检索

founder-legal-copilot(founder legal GitHub Copilot 搜索)

founder-legal-copilot 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。

founder-legal-copilot 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 73,674 个 Skill 里排第 26,214。

总安装 3,612周安装 149GitHub Stars 公开资料未说明下载 1,180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
1.0.0

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:founder-legal-copilot(founder legal GitHub Copilot 搜索)
来源仓库:https://github.com/danillo7/founder-legal-copilot
安装命令:
openclaw skills install founder-legal-copilot
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 founder-legal-copilot

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。

founder-legal-copilot 为创始人提供从成立到退出的法律成果指导。覆盖五个启动阶段共27项关键法律事务支持。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。按阶段推送合规要点与文件模板辅助落地实施。重要法律行为仍需专业律师审核以确保合法性。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 founder-legal-copilot;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

    它需要接触敏感数据,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

founder-legal-copilot 怎么安装?

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

founder-legal-copilot 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。

founder-legal-copilot 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

founder-legal-copilot 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。

founder-legal-copilot 用的人多吗?

公开数据是累计安装 3,612 次,近一周安装 149 次,下载 1,180 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。

founder-legal-copilot 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
founder-legal-copilot

founder legal GitHub Copilot 搜索 · 本页

3,612—接触敏感数据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
founder-legal-copilot
description
Legal copilot that guides founders from incorporation to exit with 27 legal deliverables across 5 startup phases
version
1.0.0
homepage
https://legalkit.legal
author
Danillo Costa
tags
[legal, founders, startup, term-sheet, safe, nda, incorporation, fundraising, m&a, due-diligence]
providers
[friendliai]
plugins
[redis-agent-memory, civic-nexus]
mcpServers
[apify]

Founder Legal Copilot

A legal intelligence system for startup founders. Covers 27 legal deliverables across 5 startup phases — from incorporation to exit — using RAG-grounded analysis on verified legal templates from YC, NVCA, and Orrick.

Disclaimer: This skill produces educational legal analysis and document drafts. It is not a substitute for advice from a licensed attorney. Always have a qualified lawyer review documents before signing.

When to Use

Use this skill when a founder needs to:

  • Generate a SAFE note for a pre-seed round quickly and accurately
  • Review a contract for hidden risks before signing
  • Run a legal health check before a fundraise or acquisition conversation
  • Conduct lightweight due diligence on a counterparty, acquirer, or key hire

Do not use this skill for:

  • Court filings or litigation strategy
  • Tax advice (refer to a CPA)
  • Employment disputes in progress
  • Regulated industries (fintech licenses, healthcare HIPAA specifics, securities broker-dealer)

Prerequisites

Environment Variables

Copy .env.example to .env and populate:

cp .env.example .env

Required keys:

VariablePurpose
FRIENDLIAI_API_KEYPrimary inference (GLM-5 via Friendly.ai)
CONTEXTUAL_AI_API_KEYRAG-grounded contract analysis
APIFY_API_TOKENLive SEC/corporate records scraping
REDIS_URLPersistent deal memory across sessions
ELEVENLABS_API_KEYVoice narration (optional)
CIVIC_CLIENT_IDAuth and PII scrubbing

OpenClaw Plugins

Install required plugins before running:

openclaw plugin install redis-agent-memory
openclaw plugin install civic-nexus
openclaw mcp add apify https://mcp.apify.com

Workflow

Feature 1: SAFE Generator

Generates a complete, execution-ready Simple Agreement for Future Equity based on the YC Post-Money SAFE template (2018 revision).

Input:

/safe-generator
  --amount 500000
  --valuation-cap 8000000
  --discount 20
  --mfn true
  --pro-rata true
  --company "Acme Corp (Delaware C-Corp)"
  --investor "Sequoia Scout Fund"

Steps:

  1. Skill validates entity type (must be Delaware C-Corp for standard SAFE)
  2. Contextual AI grounds the generation against the YC template library
  3. Parameters are injected into templates/safe-post-money.md
  4. Risk flags are surfaced: unusual caps, missing pro-rata, MFN conflicts
  5. Output is rendered as a complete markdown document ready for PDF export
  6. Session data is stored in Redis for future reference (deal history)

Output: Complete SAFE document + risk summary + recommended next steps

Common flags:

  • --mfn: Most Favored Nation clause (standard for first checks)
  • --pro-rata: Pro-rata rights in next round
  • --discount: Discount rate (0-30%; typical: 15-20%)

Feature 2: Contract Reviewer

Analyzes any contract for founder-hostile terms. Compares against YC, NVCA, and Orrick baseline templates.

Input:

/contract-review --file contract.pdf
# or pipe text directly
/contract-review --text "$(cat term-sheet.md)"

Steps:

  1. Document is parsed and chunked
  2. Civic plugin scrubs any PII before sending to inference
  3. Contextual AI compares against standard templates (Cooley GO, Orrick)
  4. Eight risk dimensions are scored independently
  5. Output JSON includes risk level, flagged clauses, and plain-English explanations
  6. Recommendations prioritized by severity (red > yellow > green)

Risk dimensions analyzed:

  • Liability caps and indemnification scope
  • Termination triggers and notice periods
  • IP ownership and work-for-hire language
  • Non-compete and non-solicitation scope
  • Governing law and jurisdiction
  • Arbitration vs. litigation election
  • Assignment rights (change of control)
  • Representations and warranties

Output format:

{
  "risk_level": "yellow",
  "score": 68,
  "flags": [...],
  "recommendations": [...],
  "confidence": 0.91
}

Feature 3: Legal Health Check

Runs a 25-item legal checklist against the founder's described company state. Produces a scored report with prioritized remediation steps.

Input:

/health-check --stage seed --jurisdiction delaware

The skill will interactively ask about each item, or accept a pre-filled JSON:

/health-check --answers health-answers.json

Checklist categories:

  • Entity and formation (items 1-5)
  • Founder agreements and equity (items 6-10)
  • IP protection (items 11-14)
  • Compliance and governance (items 15-20)
  • Fundraising readiness (items 21-25)

Scoring:

  • Each item: 0-4 points
  • Total: /100
  • Bands: Critical (0-40), Needs Work (41-60), Good (61-80), Excellent (81-100)

Output: Scored report, prioritized to-do list, estimated attorney cost to remediate each gap


Feature 4: Due Diligence

Pulls live corporate data via Apify MCP (SEC EDGAR, state records, bankruptcy databases) and produces a structured diligence report.

Input:

/due-diligence
  --entity "Acme Corp"
  --state "Delaware"
  --ein "12-3456789"
  --type acquirer

Steps:

  1. Apify scrapes SEC EDGAR for any public filings
  2. State corporation database queried for active status, officers, registered agent
  3. Bankruptcy and UCC lien databases checked
  4. Tax lien records reviewed
  5. All findings compiled into structured report with red flag prioritization
  6. Redis stores the report for follow-up sessions

Data sources used:

  • SEC EDGAR full-text search
  • Delaware Division of Corporations
  • PACER bankruptcy records (via Apify)
  • UCC filing databases

Output: Structured diligence report with findings, red flags (sorted by severity), and recommended follow-up actions


Patterns

Deal Memory (Redis)

Every SAFE generated and contract reviewed is stored in the Redis memory plugin with the deal name as the key. To recall a previous deal:

/recall-deal --name "Acme Series A"

This enables multi-session deal tracking without re-uploading documents.

Multilingual Output

All four features support output in English, Spanish, Portuguese, and Mandarin:

/safe-generator ... --lang pt
/contract-review ... --lang es

Batch Mode

Review multiple contracts in a single session:

/contract-review --batch contracts/ --output reports/

Voice Narration

Any report can be narrated via ElevenLabs for accessibility or async review:

/health-check ... --voice --voice-id "rachel"

Troubleshooting

"Contextual AI rate limit exceeded"

The RAG analysis endpoint has a per-minute limit. Add --no-rag to fall back to base model analysis (lower accuracy):

/contract-review --file contract.pdf --no-rag

"Apify actor timeout"

SEC EDGAR and state database scrapes can time out on heavily loaded actors. Retry with --timeout 120:

/due-diligence ... --timeout 120

"Redis connection refused"

Check REDIS_URL in .env. For local development, run:

docker run -d -p 6379:6379 redis:alpine

"SAFE generation failed: invalid entity type"

SAFEs require a Delaware C-Corp. If the company is an LLC or S-Corp, the skill will halt and recommend conversion before fundraising.

"Civic PII scrub removed too much content"

Adjust the scrub sensitivity in skill/config.json under civic.sensitivity. Default is medium. Set to low for internal-only analysis where PII retention is acceptable.


Legal Sources

All templates and analysis are grounded against verified sources. See skill/data/sources.json for the complete list. Primary references:

平台分布

OpenClaw

80.76%
按下载量换算953

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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