Term Comparator

SkillDev tools

Compares term sheets against market standards, identifies outliers

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Term Comparator skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/venture-capital/skills/term-comparator/SKILL.md and read by ahel’s review.

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

Dimension	Market Range	Notes
Liquidation Preference	1x non-participating standard	Participating increasingly rare
Anti-dilution	Broad-based weighted average	Full ratchet rare
Board Composition	Investor minority or balanced	Depends on stage
Protective Provisions	Standard set	Watch for unusual vetos
Option Pool	10-15% refresh	Check 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

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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: term-comparator
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter