term-comparator
Compares term sheets against market standards, identifies outliers
Profile →npx skills add a5c-ai/babysitter --skill term-comparator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 t
- Overview
- Capabilities
- Market Standard Analysis
- Precedent Comparison
- Outlier Identification
- Negotiation Support
- Usage
- Compare to Market
- Compare to Precedent
- Identify Outliers
- Support Negotiation
- Comparison Dimensions
- Integration Points
- Market Data Sources
What does the term-comparator skill do?
Compares term sheets against market standards, identifies outliers
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill term-comparator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.