goal-orchestrator

goal-orchestrator is a skill for Claude Code from Eyalm321/hyperpanes. It costs 117 tokens per session (4,774 once invoked), scanned A, original, MIT.

A long-running system for managing a project’s list of goals through multiple coding agents. It breaks goals into specifications and implementation tasks, then monitors the workers.

In plain words
What is it for?
Driving project goals to completion, assigning specification and coding work, maintaining a durable work queue, and supervising agents over time.
Why use it?
It coordinates large amounts of project work and can react when agents become stuck or hit usage limits.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

Good fit Driving project goals to completion, assigning specification and coding work, maintaining a durable work queue, and supervising agents over time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eyalm321/hyperpanes/goal-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 Eyalm321/hyperpanes --skill goal-orchestrator
Clone the repo
git clone --depth 1 https://github.com/Eyalm321/hyperpanes

Made for: Claude Code.

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 goal-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/eyalm321/hyperpanes/goal-orchestrator.svg)](https://agentmods.dev/skills/eyalm321/hyperpanes/goal-orchestrator)
Your own site
<a href="https://agentmods.dev/skills/eyalm321/hyperpanes/goal-orchestrator"><img src="https://agentmods.dev/badge/skills/eyalm321/hyperpanes/goal-orchestrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,774 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.
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 $0.00117 $0.04774
Opus 5 $0.00059 $0.02387
Sonnet 5 $0.00023 $0.00955
Haiku 4.5 $0.00012 $0.00477

Measured 8d ago against content hash 194d00ff1154, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

goal-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 8d 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.

Makes network callslowCapability

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

`rs/crates/core/src/control/routes.rs`, not any inlined `curl` line.
resources/claude/goal-orchestrator/SKILL.md · 243 lines

How it starts

The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal Orchestrator

You are the goals orchestrator for ONE project. You are headless, long-lived, and you loop: ingest goals → drive them to done → report → repeat, indefinitely. You do not write code or specs yourself — you decompose intent into goals, spawn a spec agent per goal, and keep the machine healthy.

Flow: you → spec agent (per goal, fable/opus) → impl agents (sonnet). Design & rationale: hyperpanes/docs/goals-system-plan.md. You orchestrate the existing hyperpanes control API via the hyperpanes MCP (see the use-hyperpanes skill) — no bespoke tooling.

Your identity & invariants

  • One orchestrator per project. On start, set_meta on your own pane: role=goals-orch, project=<canonical project path>. The launcher checks list_panes for role=goals-orch && project=<path> before spawning a second one, so if you exist, new goals are routed to you. Never spawn a sibling orchestrator for your project.
  • You run in the project cwd. All relative paths and git operations are the project's.
  • Goals live in your conversation (this context, durable across app relaunch via claude --resume). The work queue holds the execution; you hold the intent. Keep a compact running ledger in your replies: each goal's id, one-line intent, status, and its spec-agent pane id. Re-derive it from list_panes + list_tasks after any resume.
  • Agents are panes, never subagents. Every spec agent and every impl agent runs in its own hyperpanes pane (open_pane / spawn_workers via the hyperpanes MCP) — NEVER as an in-process subagent (no Task tool, no bare claude -p inside your own pane). Panes are what make the org observable (read_pane), watchdoggable, restartable with resume:true, and account-rotatable; a subagent is invisible to all of that and dies with you.
  • Always pass --dangerously-skip-permissions on every claude you spawn (spec agents, impl agents, judges). The org runs unattended — a permission prompt wedges the pane and swallows any prompt delivered into it.

Read the full file on GitHub · 243 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 243 lines · 117 tokens per session scan A 194d00ff1154

Subscribe to this mod's changes

goal-orchestrator is a skill published in the GitHub repository Eyalm321/hyperpanes (2 stars, last pushed 21d ago), licensed MIT. It adds 117 tokens to every session and 4,774 once invoked, about $0.0006 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

lpm-config

Create and edit lpm YAML configs for projects, duplicates, worktree metadata, services, actions, terminals, profiles, SSH projects, and shared config layers. Use when the user explicitly asks to configure lpm, add an lpm service/action/button/terminal, edit .lpm.yml, or manage lpm templates or global config. For…

gug007/lpm · 91 tokens

lpm

Shortcut that loads the two lpm skills — lpm-cli (control projects: start/stop services, logs, agent status, duplicate into standalone copies or create Git worktrees) and lpm-config (create/edit project YAML configs). Use when the user types /lpm or asks about lpm without a clearly scoped task; when the task clearly…

gug007/lpm · 96 tokens

crow-batch-workspace

Set up multiple Crow workspaces in parallel, delegating to crow-workspace's setup.sh for each and firing them simultaneously to cut total setup time. Use when the user invokes /crow-batch-workspace or asks to set up several Crow workspaces at once.

corveil/crow · 59 tokens

ntm

Run NTM for multi-agent tmux orchestration, work triage, robot mode, safety, coordination, and local APIs. Use when spawning swarms, dispatching work, or operating ntm as an agent or human operator.

Dicklesworthstone/ntm · 52 tokens

issue-triage

Triage and categorize GitHub issues with priority labels. Use when user says "triage issues", "check issues", "review open issues", or during regular maintenance of GitHub issue backlog.

decebals/claude-code-java · 44 tokens

feature-dev

Guide a feature implementation through a structured seven-phase workflow with deep codebase understanding, clarifying questions, parallel architecture design, and quality review. Use this skill when the user asks to build a new feature, add functionality, or wants a methodical approach to implementation rather than…

waybarrios/opencode-power-pack · 62 tokens