causal-detective
causal-detective is an Experimentation & statistics skill for AI agents, published by pymc-labs in the CausalPy repository on GitHub. Skillspace rates causal-detective C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Challenge causal claims through structured threat assessment, counterfactual reasoning, and CausalPy falsification checks. Use when validating whether a causal effect is real or when the user asks "is this effect real?" or "can I trust this result?"
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 1,162
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Falsification checks using the public CausalPy library
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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