foundations-statistical-inference SKILL.md skillA
foundations-statistical-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-statistical-inference@v1.1Pins v1.1 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-statistical-inference/SKILL.md- Versions recorded
- 2
- Latest version
- v1.1, committed Oct 12, 2026
- First version recorded
- Oct 5, 2026
- Size
- 8,531 bytes
- Repository stars
- 101
- License
- MIT
Tests whether data supports a claim: A/B significance, peeking, sample size, eval error bars, multiple comparisons. Use when deciding if results are significant.
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
# Statistical Inference Foundations Turn observations into appropriately bounded claims. A numerical estimate is incomplete without its population, estimand, sampling mechanism, independent unit, uncertainty, and assumptions. **Triggers:** "is this A/B test uplift significant or noise", "can we stop the experiment early / we peeked daily", "how many users or eval items do we need", "error bars on eval or benchmark scores", "is model B really better than A", "CI for pass rate graded by an LLM judge", "we tested 20 metrics", sample-ratio mismatch, CUPED, ratio metrics, confidence or credible intervals, calibration, conformal prediction. Use measurement theory for whether the instrument measures the intended construct, causal inference for identification of intervention effects, and decision theory for choosing actions given uncertainty. This skill owns inference contracts; applied evaluation workflows remain with `ai-evals`. Do not create causal claims from statistical significance. ## Quick Reference | Need | Load | |---|---| | Population, estimator, confidence or credible interval | Sampling and estimation | …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/foundations-statistical-inference@sha256:9839f61c63ff8116The line at the top of this page pins the label v1.1, 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_e5gzftck3xhpeifg)
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 | |
|---|---|---|---|---|---|
| v1.1 latest | 2026-10-12 | 34b57f4 | 8,531 B | A | view · diff |
| v1.1 | 2026-10-05 | 5db538c | 7,762 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 (8531 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_e5gzftck3xhpeifg GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-statistical-inference GET https://markdownregistry.com/api/v1/blob/9839f61c63ff8116d9b36860d9f8399fdfb0a2ab9c42f158ce6da0a919dbe645
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.