running-placebo-analysis

Quick Review

This skill provides a structured approach to placebo-in-time sensitivity analysis for causal inference validation. The description clearly conveys the use case (validating causal claims, checking robustness) and the SKILL.md outlines a logical 4-step workflow with key concepts explained. Structure is clean with referenced implementation details externalized. However, descriptionCoverage could be improved with more specificity about inputs/outputs and when to choose this over alternatives. TaskKnowledge is solid given the referenced implementation file is assumed present. Novelty is moderate—while placebo analysis is valuable, it's a known sensitivity check in causal inference; a CLI agent with causal inference libraries could potentially perform this, though the factory pattern and structured workflow do add convenience. The skill would benefit from concrete examples of experiment types and clearer invocation criteria.