causal-inference-design-audit
causal-inference-design-audit is an Experimentation & statistics skill for AI agents, published by Drchronx in the ai-agent-research-starter-kit repository on GitHub. Skillspace rates causal-inference-design-audit C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Audit and design causal inference strategies for management, information systems, marketing, psychology, and text-mining empirical research. Use for causal claims, DAGs, confounding, identification, DID, PSM, IV, RDD, DML, matching, controls, mechanisms, heterogeneity, and what cannot be interpreted causally.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 39
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
- 100 / 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 1 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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