model-council-voting SKILL.md skillA

model-council-voting from scdenney/open-science-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add scdenney/open-science-skills/model-council-voting@git:20261008.eaad168

Pins git:20261008.eaad168 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
scdenney/open-science-skills
Path
archive/claude/model-council-voting/SKILL.md
Versions recorded
1
Latest version
git:20261008.eaad168, committed Oct 8, 2026
Size
17,865 bytes
Repository stars
69
License
a license file GitHub does not identify

Runs several language models as independent coders on one labeling or discovery task and treats disagreement as data. Covers diverse panel assembly, independent voting, consensus rules, Cohen’s and Fleiss kappa, Krippendorff’s alpha, correlated-error limits on validity claims, human validation, and reporting. Use when the user asks about a council, panel, ensemble, or jury of models, how to combine model labels, or what kappa or alpha to report for model coders. Single-model codebook and…

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

# Model Council Voting: Panels of Language Models as Independent Coders

## Instructions

A "council" runs the same labeling, scoring, or term-discovery task through several language models independently and reads their (dis)agreement as data. It sits **on top of** the single-model codebook-and-validation workflow in `text-classification` — build and validate the codebook there first, then escalate to a council only when one model is not enough. Companion skills: `topic-modeling` (an independent, non-LLM method for cross-checking what a council finds), `llm-calibration-logprobs` (per-item confidence from one model's token probabilities, a different signal than cross-model agreement), and `methods-reporting` (the standards the write-up must meet).

Two running examples supply the concrete figures below, both from the author's own work: a **four-model Korean term-discovery study** (an ensemble spanning four training origins, with a documented appendix reporting its voting and sensitivity tables) and a **two-model classification study** (a documented agreement analysis over a survey codebook). They are cited as worked illustrations, not as general findings.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add scdenney/open-science-skills/model-council-voting@sha256:cadf72b9825d54bc

The line at the top of this page pins the label git:20261008.eaad168, 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.

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Versions

The registry has recorded 1 version of this file, committed on Oct 8, 2026.

versioncommittedcommitsizeaudit
git:20261008.eaad168 latest2026-10-08 eaad168 17,865 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17865 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

GitHub

scdenney/open-science-skills · 69 stars · license a license file GitHub does not identify · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2d3f4lawu4algmxx
GET https://markdownregistry.com/api/v1/resolve?ref=scdenney/open-science-skills/model-council-voting
GET https://markdownregistry.com/api/v1/blob/cadf72b9825d54bc223fa7d486b9698588c99ad7526ff0a3602bb97eb8af9c40

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.

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model-council-voting SKILL.md skill
scdenney/open-science-skills · archive/codex/model-council-voting/SKILL.md · Runs several language models as independent coders on the same labeling or discovery task and reads their disagreement…
git:20261008.eaad168 · audit A · 69 stars

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