causal skillA
causal is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Causal inference toolkit for when experiments are not possible: estimate treatment effects from observational data with assumption checks and mandatory caveats. Invoke as /causal. Trigger on "causal", "caused", "impact of", "effect of", "attribution", "counterfactual", "difference-in-differences", "DiD", "propensity matching", "pre-post". If randomization IS possible, route to /experiment design instead..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Skill: /causal — OpenCausalInf Causal Inference Toolkit ## Purpose Multi-mode skill for causal inference when experiments aren't possible. Helps users estimate treatment effects from observational data with explicit assumption checking, sensitivity analysis, and mandatory caveats. Uses coded helpers from `helpers/stats/experiment_stats/causal/`. ## When to Use Invoke as `/causal [mode]` or trigger on causal inference intents: - "Did this feature actually cause the improvement?" - "We can't run an experiment, but..." - "Was this change responsible for the metric movement?" - "Can we measure the impact retroactively?" ## Modes ### `/causal select` **Purpose:** Walk the method selection decision tree and recommend a causal method. **Agent:** `agents/causal/causal-method-selector.md` **Flow:** 1. Ask 4-6 diagnostic questions: - Can you randomize? → Route to `/experiment design` - Do you have a comparison group? - Do you have pre-treatment data? - Are there observable confounders you can measure? - How many time periods do you have? 2. Recommend: Pre-Post, DiD, PSM, Regression Adjustment, or "not feasible" …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/causal@git:20260828.01c26bcmdr add ai-analyst-lab/ai-analyst/causal@sha256:e7ec17d3f7b0b236Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_2o2lwkj42yr7lj4a)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260828.01c26bc latest | 2026-08-28 | 01c26bc | 7,229 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 7,213 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7229 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2o2lwkj42yr7lj4a GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/causal GET https://markdownregistry.com/api/v1/blob/e7ec17d3f7b0b23670a14e0929320034c15cba9bab585118c9b6ccd0b49ba857
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.