Agent Conductor

by icohangar-ops

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Agent conductor — AGENTS.md contract parser, SKILL.md registry, CHP decision engine over MCP

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Author
icohangar-ops
Downloads
31
Categories
Developer Tools

- License: MIT
- Status: v0.1 — working scaffold; see Roadmap
- Nothing compiles the contract. The non-negotiable rules, layer
- Nothing gates the decision. An agent that's about to rewrite your
- Nothing verifies the checklist ran. "Run npm test before handing off"

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Agent Conductor
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

contract_load

Compile an AGENTS.md operating manual into a structured agent contract: mission, non-negotiable rules, layer responsibilities, verification gates, recommended skills, and out-of-scope list. Pass a file path or a project directory (defaults to the current working directory).

contract_verification

Return the verification gates from a project's agent contract — the named checklists and shell commands that must pass before work is handed off. Run these and confirm success before declaring any task complete.

skills_list

Discover SKILL.md skills visible from a project root (project-scope .conductor/.claude/.cursor skill dirs, then personal ones). Returns metadata only (~100 tokens per skill); use skill_load for the full body.

skill_load

Load the full SKILL.md body for a named skill — the on-demand half of progressive disclosure. Call only when the current task matches the skill's description.

decision_gate

Run the Consensus Hardening Protocol R0 gate on a proposed decision: is it solvable, scoped, valid, and worth making at all? Any FATAL answer returns HALT — stop and reframe before doing the work.

decision_adversary

Run a one-shot Consensus Hardening Protocol adversarial pass against a claim or proposed change: CHP attacks its foundations, scores them 0-100, and returns findings plus a session status (EXPLORING / HALT / REFRAME_REQUIRED). Use before locking any high-stakes decision.

engine_status

Health/readiness probe for the CHP decision engine (Python subprocess). By default returns a cheap readiness snapshot (running, last exit code, restart-backoff state) WITHOUT spawning Python. Pass probe=true to also issue a live ping that warms/spawns the subprocess.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "agent conductor": {
            "agent-conductor": {
                "command": "npx",
                "args": [
                    "-y",
                    "@cubiczan/agent-conductor"
                ]
            }
        }
    }
}

McpServers

{
    "agent-conductor": {
        "command": "npx",
        "args": [
            "-y",
            "@cubiczan/agent-conductor"
        ]
    }
}

Agent conductor — AGENTS.md contract parser, SKILL.md registry, CHP decision engine over MCP

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