master-orchestrator

master-orchestrator is a skill for Claude Code, Codex from j4flmao/agent-skills. It costs 113 tokens per session (15,208 once invoked), scanned A, original, MIT.

A project-starting guide that examines the current project and directs you to the most suitable next skill. It routes work but does not build, debug, or design anything.

In plain words
What is it for?
Use it to decide which add-on to use when starting a project, choosing a next step, or asking where to begin.
Why use it?
It removes guesswork at the beginning of an unfamiliar project by identifying what should happen next.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to decide which add-on to use when starting a project, choosing a next step, or asking where to begin.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/j4flmao/agent-skills/master-orchestrator
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 j4flmao/agent-skills --skill master-orchestrator
Clone the repo
git clone --depth 1 https://github.com/j4flmao/agent-skills

Made for: Claude Code, 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 master-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/j4flmao/agent-skills/master-orchestrator/github.svg)](https://agentmods.dev/skills/j4flmao/agent-skills/master-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/j4flmao/agent-skills/master-orchestrator"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/master-orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for master-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/j4flmao/agent-skills/master-orchestrator"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/master-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00113 $0.15208
Opus 5.5 $0.00045 $0.06083
Sonnet 5.5 $0.00023 $0.03042
Haiku 4.5 $0.00011 $0.01521

Measured yesterday against content hash e553bd0bb6f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

master-orchestrator scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

State: User asks about API client, curl command, HTTP request generation.
skills/core/master-orchestrator/SKILL.md · 1,560 lines

How it starts

The opening of the file, as written. The whole thing — 1,560 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Master Orchestrator

Purpose

Inspect project state and route to the correct skill. This skill NEVER implements, debugs, or designs. It only routes.

Agent Protocol

Trigger

Exact user phrases: "start", "help me build", "initialize", "I want to build X", "where do I start", "what skill", "what should I do next", "begin", "let's start".

Input Context

  • Working directory must be set to the project root.
  • If no project root is detectable, ask the user: "Where is your project directory?"

Output Artifact

None. This skill produces no files. It emits a routing decision as text.

Response Format

The agent MUST output exactly one of the following templates. No preamble. No postamble. No explanations. No filler/hedging/transitions. Compress output — why use many token when few do trick. No explanations.

Skills are identified by their directory under skills/ (e.g. dev-loop/code-review = skills/dev-loop/code-review/SKILL.md); every route below uses that form. When a request matches nothing below, consult the Quick Map in .claude/rules/routing.md or list skills/<category>/.

Template A — Route to a single skill:

Next skill: **{category/skill-path}**
Reason: {one sentence exactly}
Context: {key facts the next skill needs}

Template B — Route to multiple skills (sequential):

Next skills:
1. **{category/skill-path}** — {reason}
2. **{category/skill-path}** — {reason}

Template C — Need more information:

Need: {what you need from the user}
Options:
- {option 1}
- {option 2}

Completion Criteria

This skill is complete when:

  • Project state has been checked (docs/, README, package manifests)
  • Stack/language detected or asked
  • A single next skill has been identified
  • Output follows exactly one of the three templates above
  • No implementation, debugging, or advice has been given

Max Response Length

3 lines maximum for routing. 6 lines maximum for "need more information."

Workflow

Step 1: Check Filesystem

Run these checks in order. Stop at the first match. Use the host's file-listing/glob tool (or ls / PowerShell Test-Path — note -LiteralPath disables wildcards, so use -Path for globs):

  1. docs/brief*.md — brief exists
  2. docs/prd*.md — PRD exists
  3. docs/decisions/ or docs/adr/ — ADRs exist
  4. docs/specs/ — tech specs exist
  5. package.json — Node project
  6. Cargo.toml — Rust project
  7. go.mod — Go project
  8. requirements.txt or pyproject.toml — Python project
  9. pom.xml, build.gradle or build.gradle.kts — JVM project

Read the full file on GitHub · 1,560 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. yesterday Changed · +3 lines e553bd0bb6f4
  2. 1mo ago First seen · 1,557 lines · 113 tokens per session scan A 582b414d2feb

Subscribe to this mod's changes

master-orchestrator is a skill published in the GitHub repository j4flmao/agent-skills (35 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 15,208 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

swarm-advanced

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows.

ruvnet/RuView · 21 tokens

orca-emulator-android

Android device and emulator control from inside Orca over adb, with the live device view in Orca's emulator pane. Use when driving an adb-connected emulator or phone on Windows, Linux, or macOS: booting AVDs, taps, swipes, typing, hardware buttons, rotation, app install and launch, runtime permissions, the…

stablyai/orca · 102 tokens

foundry-hosted-agent-validation

Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.

microsoft/agent-framework · 82 tokens

python-feature-lifecycle

Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.

microsoft/agent-framework · 43 tokens

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

python-development

Workflow guidance for developing Python code in the Agent Framework repository. Use this when writing or modifying Python source files under python/.

microsoft/agent-framework · 27 tokens