statistical-theory-analysis SKILL.md skillA
statistical-theory-analysis from fourteen1416/academic-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fourteen1416/academic-agent-toolkit/statistical-theory-analysis@git:20260923.a0e7f79Pins git:20260923.a0e7f79 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fourteen1416/academic-agent-toolkit
- Path
academic-toolkit/skills/data-statistics-analyst/references/arc-stat-research/skills/statistical-theory-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.a0e7f79, committed Sep 23, 2026
- Size
- 1,500 bytes
- Repository stars
- 12
- License
- a license file GitHub does not identify
Analyze theoretical properties of statistical methods under the formal formulation: identifiability, bias, variance, consistency, asymptotics, coverage, error bounds, robustness, and limitations.
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 Theory Analysis ## Overview Use this skill after method proposal and before final experimental comparison. Theory is required as a stage even if the final output is a simulation paper. ## Theory Outputs Depending on the topic, provide: - Identifiability argument - Bias or variance calculation - Consistency statement - Asymptotic distribution - Coverage or calibration argument - Risk or error bound - Robustness analysis - Sensitivity or impossibility result - Counterexample showing failure outside assumptions ## Theorem Template ```markdown ## Proposition Under assumptions A1-Ak, method M satisfies ... ## Proof Sketch 1. ... 2. ... 3. ... ## Interpretation This predicts that ... ## Limitations The result does not cover ... ``` ## Experimental Predictions Every theoretical claim should produce an empirical prediction when possible: - Direction of metric change - Condition under which the method should improve - Stress condition under which it should fail - Baseline it should outperform
Read the whole file at its exact version.
How to install
mdr add fourteen1416/academic-agent-toolkit/statistical-theory-analysis@sha256:4e929342caa21038The line at the top of this page pins the label git:20260923.a0e7f79, 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_x5tcq7kbtuwxysnw)
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Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
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 (1500 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
fourteen1416/academic-agent-toolkit · 12 stars · license a license file GitHub does not identify · pushed 2026-10-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_x5tcq7kbtuwxysnw GET https://markdownregistry.com/api/v1/resolve?ref=fourteen1416/academic-agent-toolkit/statistical-theory-analysis GET https://markdownregistry.com/api/v1/blob/4e929342caa2103816cffc4426b34ae090a17b16db1162f8324b6140b487d65f
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.