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genpark-counterfactual-three-step-abduction-prediction-skill

GenPark AI Agent Skill - Pearl's 3-step counterfactual inference engine executing Abduction, Action (do-surgery), and Prediction to answer what-if causal inquiries.

Details

External ID
1362863231
Source
GITHUB
Company
—
Product
genpark-counterfactual-three-step-abduction-prediction-skill
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
agentic-ai, causal-inference, counterfactuals, do-calculus, genpark-skill, instrumental-variables, mcp, propensity-score, python-stdlib, structural-causal-models
Fetched at
Sept. 13, 2026, 5:48 a.m.
Updated at
Sept. 13, 2026, 5:48 a.m.

Enrichment

Theme
specialized AI models and agent reasoning tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
counterfactual causal inference engine skill for ai agents
Manually corrected
False

Could you build this?

Yes Implementing Judea Pearl's classic three-step counterfactual inference algorithm (abduction, action, prediction) on structural causal models is a well-documented textbook computer science algorithm easily coded in pure Python.

Competitors

Other products that read as similar to this one — 283 launches clear the similarity bar, closest 8 shown.

Attention rank: #20 of 284 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 143 days after the earliest competitor.

Other launches for this product

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