gp-performance-evaluator

gp-performance-evaluator is an Investment analysis & markets skill for AI agents, published by mariourquia in the cre-skills-plugin repository on GitHub. Skillspace rates gp-performance-evaluator C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze General Partner performance against vintage peer benchmarks. Computes fee drag (gross-to-net spread), DPI/TVPI/IRR vs vintage peers, deal-level return dispersion, key person risk, style drift detection, and produces a GP scorecard with performance, fees, risk, and re-up recommendation. Branches by fund strategy (core, value-add, opportunistic), fund vintage, and fund size. Triggers on 'GP performance', 'GP evaluation', 'GP track record', 'vintage benchmark', 'fee drag', 'gross to net spread', 'fund performance analysis', 'manager evaluation', 'GP scorecard', 'DPI TVPI comparison', 'fund quartile ranking', or when an LP needs to evaluate a GP's quantitative performance.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
36

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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