cap-table-validator
Validates cap table accuracy, identifies issues, models option pool impact
Profile →npx skills add a5c-ai/babysitter --skill cap-table-validator --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.
# Cap Table Validator ## Overview The Cap Table Validator skill provides systematic validation of capitalization tables during due diligence. It verifies ownership accuracy, identifies potential issues, and models the impact of option pools and future financing on ownership structure. ## Capabilities ### Cap Table Verification - Verify share counts against stock ledger - Reconcile against Articles/Charter documents - Check convertible instrument calculations - Validate vesting schedules and exercise prices ### Issue Identification - Identify missing or incorrect 83(b) elections - Flag accelerated vesting provisions - Detect anti-dilution trigger scenarios - Identify founder equity concentration issues ### Option Pool Modeling - Model option pool expansion impact - Calculate fully diluted ownership - Analyze option overhang and burn rate - Project pool runway based on hiring plans ### Convertible Modeling - Model SAFE and note conversions - Calculate pre-money vs. post-money impacts - Analyze discount and cap mechanics - Model multiple conversion scenarios ## Usage ### Validate Cap Table ``` Input: Cap table, supporting documents Process: Verify calculations, reconcile documents Out
- Overview
- Capabilities
- Cap Table Verification
- Issue Identification
- Option Pool Modeling
- Convertible Modeling
- Usage
- Validate Cap Table
- Identify Issues
- Model Option Pool
- Model Convertibles
- Validation Checklist
- Integration Points
- Common Issues
What does the cap-table-validator skill do?
Validates cap table accuracy, identifies issues, models option pool impact
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cap-table-validator --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.