causal-roi
causal-roi is a Financial modelling & forecasting skill for AI agents, published by RobsonTigre in the everyday-causal-skills repository on GitHub. Skillspace rates causal-roi D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Translates an estimated causal effect into financial value — incremental ROI, breakeven, projection waterfall, and a ship/kill/size verdict. Use when the user already has an effect estimate (from project artifacts or supplied directly) and asks to turn it into money, e.g. "is the investment worth it given this lift", "translate my experiment's effect into money for the CFO", "what's the incremental ROI of this estimate", "breakeven for this effect", "build the business case from my DiD result". Requires an existing causal/incremental effect estimate. Not for estimating the effect itself (use method skills), choosing a method (use /causal-planner), ordinary accounting/financial ROI with no causal estimate, or stock/real-estate returns.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 53
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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