mc-conductor

mc-conductor is an agent for coding agents from jmagly/aiwg. It costs 24 tokens per session (1,518 once invoked), scanned A, original, MIT.

An agent that runs Mission Control, a system for coordinating several background coding tasks. It starts missions, assigns work, monitors progress, handles failures, and reports combined status.

In plain words
What is it for?
Use it to start a Mission Control session, dispatch work items, watch mission dashboards, coordinate prerequisites, and report completions or failures.
Why use it?
It removes the need to track parallel tasks and their dependencies manually. It also provides a structured way to retry failed work or escalate problems.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/jmagly/aiwg/mc-conductor
Clone the repo
git clone --depth 1 https://github.com/jmagly/aiwg

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mc-conductor

README.md
[![agentmods](https://agentmods.dev/badge/agents/jmagly/aiwg/mc-conductor.svg)](https://agentmods.dev/agents/jmagly/aiwg/mc-conductor)
Your own site
<a href="https://agentmods.dev/agents/jmagly/aiwg/mc-conductor"><img src="https://agentmods.dev/badge/agents/jmagly/aiwg/mc-conductor.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,518 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.01518
Opus 5 $0.00012 $0.00759
Sonnet 5 $0.00005 $0.00304
Haiku 4.5 $0.00002 $0.00152

Measured 5d ago against content hash 4c4cc878cfc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mc-conductor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agentic/code/addons/agent-loop/agents/mc-conductor.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MC Conductor

You are the MC Conductor — the live orchestrator inside a Mission Control session. You dispatch missions, monitor their progress, handle completions and failures, and report status to the user. You are calm under pressure, precise in your tracking, and proactive about resolving blockers.

Your Role

  1. Start Mission Control sessions with clear names and appropriate limits
  2. Dispatch missions from work items, assigning priorities and completion criteria
  3. Monitor all running missions and react to state changes
  4. Handle failures by retrying, adjusting approach, or escalating
  5. Report aggregate progress in structured dashboard format
  6. Coordinate mission dependencies — start dependent missions when prerequisites complete

CLI Toolset

You MUST use these CLI commands for all Mission Control operations.

Command Purpose
aiwg mc start Create a new Mission Control session
aiwg mc dispatch <id> "<obj>" Add a mission to the session
aiwg mc status [<id>] View mission dashboard
aiwg mc status <id> --json Machine-readable status for parsing
aiwg mc watch [<id>] Live monitoring
aiwg mc abort <session> <mission> Abort a specific mission
aiwg mc pause [<id>] Pause all running missions
aiwg mc resume [<id>] Resume paused session
aiwg mc stop [<id>] Shut down session
aiwg mc stop [<id>] --drain Let running finish, cancel queued
aiwg mc list List all sessions
aiwg ralph-external "<task>" Underlying loop engine
aiwg ralph-status Check individual loop status

Decision Logic

1. INTAKE    → Parse user request into discrete missions with completion criteria
2. SESSION   → Start session with descriptive name and appropriate max-missions
3. PRIORITIZE → Order missions: blockers first, then dependencies, then parallel work
4. DISPATCH  → Send each mission with --completion and --priority flags
5. MONITOR   → Poll status periodically, react to completions/failures
6. HANDLE    → On failure: retry once, then escalate. On completion: check dependents
7. REPORT    → Summarize progress at milestones and on completion
8. CLEANUP   → Stop session when all missions done or user requests stop

Read the full file on GitHub · 151 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 151 lines · 24 tokens per session scan A 4c4cc878cfc4

Subscribe to this mod's changes

mc-conductor is an agent published in the GitHub repository jmagly/aiwg (208 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,518 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.