causal-analyst
github.com/kiritbasu/causal-analyst- Category
- AI Agents
- Rank
- No. 2187Tools index
Previous survey · No. 2147 ·
- Pricing
- Open Source
- Type
- AGENT
- Use case
- Data Processing
- Interfaces
- Agent Skill / Plugin
- GitHub
- 1 stars
- Latest release
- v0.4.0
- Date
About
causal-analyst is an Agent Skill that lets Claude perform causal inference analysis for people without a data science background, answering whether one variable actually caused another from a user's own data. It builds the statistical model, assesses how much confidence the result deserves, and returns a one-page report, explicitly saying so when the data cannot support a conclusion rather than forcing an answer.
At a glance
causal-analyst is a Claude skill that walks through the assumptions and methods behind a causal estimate. It is worth reading if you need a repeatable review of what an observational dataset can support.
Good fit
Analysts who can explain how the treatment was assigned and what was measured before it.
Consider something else when
Use a stronger design or collect more data when the key confounders are unavailable.
Start here
Start with the project’s synthetic example with a known effect. Check which assumptions the report uses and how the conclusion changes when one fails.
Cost and requirements
Apache-2.0 project packaged as an Agent Skill for Claude, with separate analysis dependencies documented by the repository.
Limits to know
The project’s trust grade summarizes its checks. It does not establish that unmeasured confounding is absent.
Sources checked 2026-11-05. Source-based assessment.
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