phoenix-capital-exit-investigator

Investigate provenance and truth-case integrity for capital allocation and exit recycling modules.

Updated Jul 21, 2025
One-click install
npx skills add https://github.com/nikhillinit/Updog_restore --skill phoenix-capital-exit-investigator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: phoenix-capital-exit-investigator
Source: https://github.com/nikhillinit/Updog_restore/tree/main/.claude/skills/phoenix-capital-exit-investigator
Command: npx skills add https://github.com/nikhillinit/Updog_restore --skill phoenix-capital-exit-investigator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill focuses on weakly-proven modules like capital allocation and exit recycling, examining assumptions and alignment with strategy.

Core Features & Use Cases

  • Provenance upgrade: Identify assumptions in capital allocation logic.
  • Truth-case expansion: Add targeted scenarios to expand truth-case coverage.
  • Alignment with strategy: Ensure capital allocation respects fund size, stages, and timing.

Quick Start

Review related modules and run targeted truth-case tests to validate alignment with strategy.

Frequently Asked Questions about phoenix-capital-exit-investigator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate capital allocation logic for accuracy and strategy alignment?▼

Capital allocation investigation examines assumptions in allocation logic and ensures alignment with fund size, stages, and exit timing. This Skill upgrades provenance for weakly-proven modules, expands truth-case coverage with targeted scenarios, and validates that allocation respects your fund's documented strategy before deployment.

What does exit-recycling investigation do for capital redeployment?▼

Exit-recycling investigation identifies provenance gaps and integrity issues in modules handling capital redeployment from exits. It expands truth-case scenarios, enforces documented assumptions, and ensures exit timing aligns with fund allocation strategy through targeted validation.

How do I expand truth-case coverage for capital and exit modules?▼

Truth-case expansion targets LOW and MEDIUM confidence scenarios in capital allocation and exit-recycling modules. This Skill adds realistic test cases aligned with fund parameters, validates them against your documented assumptions, and re-runs the suite to confirm module integrity after modifications.

Can I identify and fix weak assumptions in financial calculation modules?▼

Yes. This Skill investigates provenance for capital allocation and exit-recycling, surfaces hidden assumptions, documents findings in validation reports, and upgrades confidence by eliminating hard-coded magic numbers and enforcing explicit strategy alignment.

What's the difference between low and medium confidence truth cases?▼

Low confidence cases lack sufficient provenance or strategy alignment; medium confidence cases have partial documentation but unverified assumptions. This Skill prioritizes both levels, expanding scenarios and enforcing provenance upgrades to move cases toward high confidence through systematic validation.