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quorum

Skill2 starsChanged 2 months agoMITView on GitHub

Structured second opinions for AI assistants. Use Quorum to examine consequential questions in coding or general chat, challenge plans, compare options, review code, or save and revisit decisions in project or explicitly shared local global memory. It adapts review depth to task stakes, with independent review when supported. Direct handles routine requests; explicit Super can assign model and effort per agent. Load entry/core before task tools; Direct never bypasses authorization.

7 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions7 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 7

    1. Detrol/quorum-cli★ 119same name
    2. qinnovates/quorum★ 12same name
    3. drewdrewthis/claude-skills★ 2same name
    4. Wenjix/quorum★ 2same name
    5. tusharpandey13/forge★ 1same name
    6. davidbrown1775/quorum-skill★ 0same name
    7. Lukehle/claude-quorum★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not batch a task read with the skill-entry read.

    line 11

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Quorum

Load the entry's required references before any task tool call, including reads. Do not batch a task read with the skill-entry read. Finish loading the core (and Codex adapter on Codex) first, then follow its feature gates.

requireRead(path): load current installed revision once per context; reuse already-loaded content, not stale references; after compaction/revision change reload required content if unavailable; never substitute model familiarity
Entry(request) {
  requireRead("references/protocol.sudo.md") // shared core only; before execution, including Direct:
  if (host == Codex) requireRead("references/codex-adapter.md")
  missing required reference => disclose; stop affected execution; never invent rules
  feature references load only at core gates, before affected work
  nonCodex => bind available capabilities; preserve portable invariants + declared fallbacks
  execute Quorum.run(request)
  before final, if receipt required: verify resolved requested/actual tiers, launches by role + total, maxWorkers, provenance, explorationApplied; repair omissions without rerunning operations
}

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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