Babysitter term-comparator

Compares term sheets against market standards, identifies outliers

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/venture-capital/skills/term-comparator" ~/.claude/skills/a5c-ai-babysitter-term-comparator && rm -rf "$T"
manifest: library/specializations/domains/business/venture-capital/skills/term-comparator/SKILL.md
source content

Term Comparator

Overview

The Term Comparator skill analyzes term sheets against market standards and fund precedents to identify outliers and support negotiation strategy. It enables data-driven term negotiations and ensures consistency with market norms.

Capabilities

Market Standard Analysis

  • Compare terms against market benchmarks
  • Identify investor-favorable vs. founder-favorable terms
  • Track market term evolution over time
  • Analyze terms by stage and sector

Precedent Comparison

  • Compare against fund's historical terms
  • Analyze co-investor standard terms
  • Review competitor term patterns
  • Build term precedent database

Outlier Identification

  • Flag unusual or non-standard provisions
  • Identify terms outside normal ranges
  • Highlight aggressive or founder-unfriendly terms
  • Note missing standard protections

Negotiation Support

  • Suggest negotiation priorities
  • Provide market data for negotiations
  • Identify trade-off opportunities
  • Model term package alternatives

Usage

Compare to Market

Input: Term sheet, market comparison parameters
Process: Analyze against benchmarks
Output: Market comparison report, variance analysis

Compare to Precedent

Input: Term sheet, precedent set
Process: Compare against historical terms
Output: Precedent comparison, consistency analysis

Identify Outliers

Input: Term sheet, outlier thresholds
Process: Flag unusual terms
Output: Outlier report, risk assessment

Support Negotiation

Input: Current terms, priorities
Process: Analyze trade-offs, suggest approach
Output: Negotiation strategy, talking points

Comparison Dimensions

DimensionMarket RangeNotes
Liquidation Preference1x non-participating standardParticipating increasingly rare
Anti-dilutionBroad-based weighted averageFull ratchet rare
Board CompositionInvestor minority or balancedDepends on stage
Protective ProvisionsStandard setWatch for unusual vetos
Option Pool10-15% refreshCheck pre vs. post

Integration Points

  • Term Sheet Drafting Process: Validate generated terms
  • Definitive Document Negotiation: Support doc negotiations
  • Term Sheet Generator: Ensure generated terms are standard
  • Term Sheet Negotiator (Agent): Support agent negotiations

Market Data Sources

  • NVCA survey data
  • Fund precedent database
  • Co-investor term patterns
  • Legal firm market reports
  • Industry benchmarking services

Best Practices

  1. Maintain current market benchmark data
  2. Consider stage and sector context
  3. Weight precedent by recency
  4. Distinguish must-haves from nice-to-haves
  5. Consider full term package, not just individual terms