ThomasMoreAI
ThomasMoreAI/legal-skills-open
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ThomasMoreAI/legal-skills-open --skill opencontracts-guide命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Use when retrieving arbitration institutional rules (ICC, LCIA, SCC, SIAC, HKIAC, VIAC, МКАС/МАК при ТПП України, UNCITRAL) — fetching current version, verifying redaction applicable to the date of arbitration agreement, constructing URLs for official rule texts
Use when choosing the Polish legal regime for letters, requests, applications, complaints, petitions, public-information requests, KPA filings, PPSA complaints, RODO access requests, registry extracts, court-file access, tax/ZUS/cudzoziemcy/USC procedures, or professional lawyer letters. Prevents mixing UDIP, KPA, PPSA, RODO, registry, special-procedure, and advocate/radca letter regimes.
Use when preparing applications for recognition and enforcement of foreign arbitral awards in Poland, applications for setting aside arbitral awards under KPC art. 1205–1211, or opposing such applications — mapping Article V of the 1958 New York Convention to art. 1214–1215 of the Polish KPC, identifying grounds for refusal, structuring public policy arguments
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基于 SOC 职业分类
| name | opencontracts-guide |
| title | OpenContracts Guide |
| description | Legal document annotation, versioning, and analysis platform |
| author | wentorai |
| author_url | https://github.com/wentorai/research-plugins/tree/main/skills/domains/law/opencontracts-guide |
| license | MIT |
| version | 0.1.0 |
| execution_mode | open |
| jurisdiction | general |
| practice | contracts |
| language | en |
OpenContracts is an open-source platform for legal document annotation, versioning, and analysis. It provides collaborative annotation tools for legal text, version tracking across document drafts, NLP-powered clause extraction, and integration with AI agents via MCP. Designed for legal researchers, law firms, and teams managing large document collections that need structured annotation and analysis.
# Docker deployment
git clone https://github.com/Open-Source-Legal/OpenContracts.git
cd OpenContracts
docker-compose up -d
# Access at http://localhost:3000
from opencontracts import Client
client = Client("http://localhost:3000")
# Upload documents
doc = client.upload(
file="contract.pdf",
metadata={
"type": "NDA",
"parties": ["Company A", "Company B"],
"date": "2025-01-15",
"jurisdiction": "Delaware",
},
)
# Version tracking
versions = client.get_versions(doc.id)
for v in versions:
print(f"v{v.number}: {v.date} — {v.changes_summary}")
# Compare versions
diff = client.compare_versions(doc.id, v1=1, v2=3)
for change in diff.changes:
print(f"[{change.type}] Section {change.section}: "
)
# Create annotation project
project = client.create_project(
name="NDA Clause Analysis",
documents=[doc.id],
label_set=[
"confidentiality_scope",
"term_duration",
"exclusions",
"remedies",
"governing_law",
"dispute_resolution",
],
)
# Add annotations
client.annotate(
document_id=doc.id,
annotations=[
{
"start": 1250, "end": 1480,
"label": "confidentiality_scope",
"note": "Broad definition including derivatives",
},
{
"start": 2100, "end": 2250,
"label": "term_duration",
"note": "5-year term with auto-renewal",
},
],
)
# Automated clause extraction
clauses = client.extract_clauses(
doc.id,
clause_types=[
"indemnification",
"limitation_of_liability",
"termination",
"force_majeure",
"assignment",
],
)
for clause in clauses:
print(f"\n[{clause.type}] (confidence: {clause.confidence:.2f})")
print(f" Location: p.{clause.page}, para {clause.paragraph}")
print(f" Text: {clause.text[:100]}...")
# Risk assessment
risks = client.assess_risks(doc.id)
for risk in risks:
print(f"[{risk.severity}] {risk.clause}: {risk.description}")
{
"mcpServers": {
"opencontracts": {
"command": "npx",
"args": ["@opencontracts/mcp-server"],
"env": {
"OPENCONTRACTS_URL": "http://localhost:3000"
}
}
}
}
# Full-text search across documents
results = client.search(
query="indemnification unlimited liability",
document_types=["NDA", "MSA"],
date_range=("2024-01-01", "2025-12-31"),
)
# Analytics
stats = client.analytics(project_id=project.id)
print(f"Documents annotated: {stats.docs_complete}")
print(f"Total annotations: {stats.total_annotations}")
print(f"Inter-annotator agreement: {stats.agreement:.2f}")
print(f"Most common clause: {stats.top_clauses[0]}")