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[External Plugin]: agentcouncil #5133

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Description

@Sentry01

Plugin name

agentcouncil

Short description

Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading answer before an orchestrator writes the final result from anonymized inputs.

GitHub repository

Sentry01/AgentCouncil

Plugin path inside the repository

No response

Ref to review

v2.0.0

Commit SHA to review

abad48ddd3117056bbda12f2f7e87142d8c43369

Version

2.0.0

License identifier

MIT

Author name

Shlomi Shaki

Author URL

https://github.com/Sentry01

Homepage URL

No response

Keywords

multi-agent, multi-model, council, debate, brainstorm, stress-test, adversarial, collaborative, orchestration, second-opinion

Additional notes for reviewers

Not a duplicate of agent-council. The existing agent-council listing (Avyayalaya/agent-council) is a different project: a 5-agent quality gate that returns SHIP / REVISE / HOLD on text artifacts. AgentCouncil has a separate codebase, purpose and protocol. It answers open questions (decisions, designs, reviews, research) by seating one model from each of three families and making them interact once. The agentcouncil name keeps it distinct from the existing listing's name.

What it adds beyond a single model:

  • Copilot CLI's task tool can run each subagent on a different model. AgentCouncil uses this to seat Anthropic, OpenAI and Google models side by side, so mistakes specific to one model family get caught.
  • The orchestrator only sees anonymized, reordered responses, which removes the bias toward the seat that shares its family.
  • Two modes: collaborative (draft, improve, synthesize) and adversarial (draft, triage, attack, verdict). A light path covers simple questions in 4 calls.
  • If a model is unavailable, the seat falls back to the next one on its list without collapsing two seats into one family. Every answer ends with a footer listing the models that actually ran.
  • Every subagent prompt tells it to work read-only.

Contents:

  • An Agent Plugins 1.0 plugin.json.
  • One skill: skills/agentcouncil/SKILL.md, a short router, with phase prompts in references/.
  • One thin custom agent in com.github.copilot/agents/, which loads the skill. There are no MCP servers, hooks or scripts that run at install or runtime.

Checks run before submitting:

  • @microsoft/vally 0.18.0 lint: passed, covering spec-compliance and valid-refs.
  • In a clean COPILOT_HOME, these work against the GitHub repo: copilot plugin marketplace add Sentry01/AgentCouncil, copilot plugin install agentcouncil@agentcouncil and copilot plugin update. --agent agentcouncil:agentcouncil responds.
  • Routing evals (22 cases, in the repo under evals/): 44/44 over 2 runs on claude-sonnet-5.5, and 22/22 each on gpt-5.5 and gemini-3.8-flash.
  • End-to-end light and full adversarial councils ran on the default roster.

Releases are published from CHANGELOG.md. The repo is also its own marketplace (.github/plugin/marketplace.json).

Submission checklist

  • The plugin lives in a public GitHub repository.
  • The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
  • This submission follows this repository's contribution, security, and responsible AI policies.
  • This plugin is not already listed in the Awesome Copilot marketplace.

Activity

  1. added
    awaiting-reviewSubmission is waiting for automated intake validation
    external-pluginPublic external plugin submission
    ready-for-reviewSubmission passed intake validation and is ready for maintainer review
    and removed
    awaiting-reviewSubmission is waiting for automated intake validation
    on Oct 17, 2026
  2. github-actions commented on Oct 17, 2026

    @github-actions
    Contributor

    ✅ External plugin intake passed

    This submission passed automated intake validation and quality checks and is ready for maintainer review.

    View workflow run · Download full quality gate logs

    Reviewer signals

    These are non-blocking heuristics for maintainer review; they are not evidence of misconduct or low quality.

    Signal Result
    Repository age 250 day(s)
    Repository activity 0 watchers
    Repository counts 17 stars · 0 watchers · 2 forks · 1 open issues/PRs

    Quality gate summary

    Legend: ✅ pass · ⚠️ warning · 🛑 fail

    Gate Status
    spec compliance (non-blocking) ✅ pass
    vally lint ✅ pass
    install smoke test ✅ pass
    version match ✅ pass
    ref/sha consistency ✅ pass
    canvas structure ⚪ not_run
    • spec compliance: pass
    • vally lint: pass
    • install smoke test: pass
    • version match: pass
    • ref/sha consistency: pass
    • canvas structure: not_run
    • overall: pass
    spec compliance output (✅ pass)
    Agent Plugins v1.0.0 manifest checks passed for plugin.json.
    
    vally lint output (✅ pass)
    ✅ agentcouncil (2/2 checks passed)
        ✓ [spec-compliance] All 1 skill(s) are spec-compliant.
            ✓ spec-compliance: All spec checks passed.
        ✓ [valid-refs] All file references across 1 skill(s) are valid.
            ✓ valid-refs: All file references resolve to existing files within the skill directory.
    
    1 skill(s) linted, 1 passed
    
    install smoke test output (✅ pass)
    Install smoke test succeeded. Verified /tmp/external-plugin-quality-JrAbqL/copilot-home/.copilot/installed-plugins/external-plugin-intake/agentcouncil/plugin.json.
    
    Version match output
    - v2.0.0: matched version "2.0.0" at "plugin.json".
    - abad48ddd3117056bbda12f2f7e87142d8c43369: matched version "2.0.0" at "plugin.json".
    
    Ref/SHA consistency output
    source.ref "v2.0.0" resolves to the same commit as source.sha "abad48ddd3117056bbda12f2f7e87142d8c43369".
    
    Canvas structure output
    Canvas structure gate skipped because plugin is not tagged with "canvas".
    

    Canonical external.json payload

    {
      "name": "agentcouncil",
      "description": "Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading answer before an orchestrator writes the final result from anonymized inputs.",
      "version": "2.0.0",
      "author": {
        "name": "Shlomi Shaki",
        "url": "https://github.com/Sentry01"
      },
      "repository": "https://github.com/Sentry01/AgentCouncil",
      "license": "MIT",
      "keywords": [
        "multi-agent",
        "multi-model",
        "council",
        "debate",
        "brainstorm",
        "stress-test",
        "adversarial",
        "collaborative",
        "orchestration",
        "second-opinion"
      ],
      "source": {
        "source": "github",
        "repo": "Sentry01/AgentCouncil",
        "ref": "v2.0.0",
        "sha": "abad48ddd3117056bbda12f2f7e87142d8c43369"
      }
    }
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