agent-control-center

agent-control-center is a skill for Codex from giang6283623/minimal-vibe-coding-kit. It costs 105 tokens per session (1,808 once invoked), scanned A, original, MIT.

A coordination guide for assigning complex coding work to other agents or tools while keeping one controller responsible for planning, verification, and acceptance. It distinguishes the host application, controller, worker, model, and communication method.

In plain words
What is it for?
Use it to plan multi-agent coding tasks, dispatch bounded work, review results, and keep user questions, permissions, and final verification under one coordinator.
Why use it?
It prevents agents and tools from being confused with one another and keeps execution authority, permissions, and review responsibility clear.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; installed under .agents/ (shared by several agents); mentions Codex.

Good fit Use it to plan multi-agent coding tasks, dispatch bounded work, review results, and keep user questions, permissions, and final verification under one coordinator.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/giang6283623/minimal-vibe-coding-kit/agent-control-center
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.

Any agent
npx skills add giang6283623/minimal-vibe-coding-kit --skill agent-control-center
Clone the repo
git clone --depth 1 https://github.com/giang6283623/minimal-vibe-coding-kit

Made for: Codex.

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 agent-control-center

README.md
[![agentmods](https://agentmods.dev/badge/skills/giang6283623/minimal-vibe-coding-kit/agent-control-center.svg)](https://agentmods.dev/skills/giang6283623/minimal-vibe-coding-kit/agent-control-center)
Your own site
<a href="https://agentmods.dev/skills/giang6283623/minimal-vibe-coding-kit/agent-control-center"><img src="https://agentmods.dev/badge/skills/giang6283623/minimal-vibe-coding-kit/agent-control-center.svg" alt="Measured on agentmods" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00105 $0.01808
Opus 5 $0.00053 $0.00904
Sonnet 5 $0.00021 $0.00362
Haiku 4.5 $0.00011 $0.00181

Measured 7d ago against content hash 9cf9e064d055, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

agent-control-center 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 7d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/codex-cli-controller-bridge.mjs, scripts/validate-controller-contract.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/agent-control-center/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Control Center

Coordinate one task without confusing the controller, host, worker, model, or transport. Keep exactly one controller responsible for the plan, dispatch decisions, verification, and final acceptance.

Core invariants

  • Treat the active application or CLI as the host. The host exposes tools and retains execution authority even when another provider is the controller.
  • Treat a model as a capability behind a host, not as a controllable process.
  • Keep the host parent as the user-facing relay and execution authority. An external controller owns orchestration decisions, but cannot widen host permissions or directly control native agents.
  • Keep controller and worker provider, transport, model, and reasoning choices separate. Selecting a controller never assigns that provider as a worker.
  • When an external controller is active, topology skills run in executor mode: the controller creates work orders and reviews receipts, while the host asks user questions, dispatches approved workers, and returns their receipts.
  • Never claim that plain MCP lets a server click, control, or spawn agents in its client. Use host-mediated work orders and proof receipts.
  • Give every worker a bounded scope, budget, expected artifact, validation, and stop condition. Do not permit recursive worker dispatch unless the work order explicitly allows one bounded child layer.
  • Allow at most one controller transfer per task. Require user approval before a transfer changes provider, billing, permissions, or mutation authority.
  • Preserve repository rules, protected paths, human gates, and user-owned changes across every provider boundary.

Inputs

Resolve these values before dispatch:

  • objective: one observable outcome;
  • controller: native, auto, or a registered provider identifier such as codex, claude, cursor, opencode, grok, or kimi; default to native unless the user requests cross-provider control or automatic selection;
  • relay_mode: automatic-host-relay or sequential-host-relay for a non-manual controller transport; bind manual-handoff automatically when controller_route.transport=manual;
  • controller_route: controller provider, transport, model, and supported reasoning effort;
  • worker_routes: default or per-role worker provider, transport, model, and supported reasoning effort, selected independently from the controller;
  • topology: plan-only, sequential, countercheck, parallel-analysis, verified-graph, or proofline;
  • scope: repository root, allowed paths, protected paths, and external systems in scope;
  • authorization: read-only or approved mutation boundaries;
  • budget: lane count, time, retries, and any user-stated cost limit;
  • acceptance: commands, artifacts, objective checks, and human gates.

Read the full file on GitHub · 153 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. 7d ago First seen · 153 lines · 105 tokens per session scan A 9cf9e064d055

Subscribe to this mod's changes

agent-control-center is a skill published in the GitHub repository giang6283623/minimal-vibe-coding-kit (21 stars, last pushed 10d ago), licensed MIT. It adds 105 tokens to every session and 1,808 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens