foundations-causal-inference SKILL.md skillA
foundations-causal-inference from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/foundations-causal-inference@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/foundations-causal-inference/SKILL.md- Versions recorded
- 2
- Latest version
- v1.4, committed Oct 12, 2026
- First version recorded
- Oct 5, 2026
- Size
- 28,367 bytes
- Repository stars
- 101
- License
- MIT
Tests whether changes caused a metric move without a clean A/B test: DiD, synthetic control, IV, RDD. Use when asking did a launch cause lift.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Causal Inference Foundations ## When to Apply **Apply causal-inference when:** - "Did the change cause the outcome, or just correlate?" question - A/B test is impossible (rollout already happened, ethics, ramping risk) — observational methods needed - Confounding suspected — non-random treatment assignment - Heterogeneous treatment effects matter (CATE, uplift) - Mediation question — "is the effect through path X or path Y?" - Units interfere — marketplace, social graph, shared inventory, ranking model, or agents sharing a backend resource; randomization alone does not identify the launch effect - LLM evaluation pipeline uses logged data — prompt distribution, judge bias, or user self-selection confound the quality signal (Pearl's Ladder applies: estimating P(Y|do(prompt)) is different from P(Y|prompt)) - A new router, ranker or bandit policy must be judged from logs of the old one, a short test must decide on a long-term metric, or outcomes are missing unequally by arm — see [Beyond the canonical 12](references/beyond-canonical-designs.md) **Skip and use simpler alternatives when:** …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/foundations-causal-inference@sha256:e9f1a583c42d3ae3The line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nppmsxwz337i3dgp)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 12, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-12 | 34b57f4 | 28,367 B | A | view · diff |
| v1.4 | 2026-10-05 | 5db538c | 27,685 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 (28367 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nppmsxwz337i3dgp GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-causal-inference GET https://markdownregistry.com/api/v1/blob/e9f1a583c42d3ae392dc3337899641ff25593b649376dbfc6536195c0a387970
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.