premium-agent-orchestration

premium-agent-orchestration is a skill for Claude Code from dryvist/claude-code-plugins. It costs 83 tokens per session (1,272 once invoked), scanned A, original, Apache-2.0.

A workflow for using a high-end AI model as the decision-maker while sending routine, checkable work to cheaper agents or local language models.

In plain words
What is it for?
Use it to divide software tasks between agents, choose who handles planning or implementation, manage trade-offs, and review the resulting work.
Why use it?
It keeps the most capable model focused on intent, design choices, risks, and review instead of spending its time on work that can be checked mechanically.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Codex.

Part of the ai-delegation plugin — 7 skills shipped together

Good fit Use it to divide software tasks between agents, choose who handles planning or implementation, manage trade-offs, and review the resulting work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dryvist/claude-code-plugins/premium-agent-orchestration
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 dryvist/claude-code-plugins --skill premium-agent-orchestration
Clone the repo
git clone --depth 1 https://github.com/dryvist/claude-code-plugins

Made for: Claude Code.

Or install ai-delegation, the plugin that ships this one along with the rest of its 7 skills.

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 premium-agent-orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/premium-agent-orchestration/github.svg)](https://agentmods.dev/skills/dryvist/claude-code-plugins/premium-agent-orchestration)
Your own site
<a href="https://agentmods.dev/skills/dryvist/claude-code-plugins/premium-agent-orchestration"><img src="https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/premium-agent-orchestration/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 premium-agent-orchestration

Your own site · 80×15
<a href="https://agentmods.dev/skills/dryvist/claude-code-plugins/premium-agent-orchestration"><img src="https://agentmods.dev/badge/skills/dryvist/claude-code-plugins/premium-agent-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,272 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 $0.00083 $0.01272
Opus 5.5 $0.00033 $0.00509
Sonnet 5.5 $0.00017 $0.00254
Haiku 4.5 $0.00008 $0.00127

Measured today against content hash a97e0b3b59f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

premium-agent-orchestration 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 today.

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.

ai-delegation/skills/premium-agent-orchestration/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Premium Agent Orchestration

Treat the model running the current session as the senior decision-maker, whatever it is — model- and vendor-agnostic. This skill is the orchestrator case only: independent work that together exceeds one context window, or a marathon multi-workstream coordination session. Not this skill: serial work with a few hard decisions, or one chain that fits a single context — tune effort on one model instead. The baseline to beat is always the frontier model at high effort alone; measure against that first.

Economics

  • Pays when combined input exceeds one context window.
  • Measured gains: 47–55% cost cut on large-corpus work; on routine batches, half the average cost and a third of the worst-case (tail) cost versus one agent working serially.
  • Measured cost: 10–12 accuracy points when workers are weaker than the lead. Mitigate by keeping merging and final judgment on the lead — never let a worker's output ship unreviewed.

Senior Model Owns

The flagship keeps judgment on intent, design, tradeoffs, risk, and final approval. The lead checks every result against its yes/no check and sends failures back with the named shortfall; a delegate's claim isn't evidence.

Delegate strictly downward — never spawn a peer at your own tier. Send quick lookups, exploration, and search to the lowest capable executor, not just one down — that work costs volume, not thought. Forks run on the lead's model. Prefer the router for checkable, low-skill work; discover availability live, never hard-code a physical model ID or a static task-to-model table.

Concurrency and batching

  • Parallelize ready work. Launch all independent, ready work in parallel; sequence only for real dependencies or same-file conflicts. Group related lookups within a worker when they form one task. Probe the spawn substrate before the first fan-out; if spawning fails, take the solo path. Never cap the number of workers. Gate a large fan-out only on measured machine load (CPU and memory under 80% of capacity); spawn failures and quota or rate limits are the other signals (see Substrate Resilience below). Batch many small related tasks into one routed Agent call as a task list.

Read the full file on GitHub · 114 lines

Files

What ships with it

1 file 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. today Changed · -14 lines a97e0b3b59f7
  2. 5d ago Changed · +2 lines 50c88e34c589
  3. 10d ago Changed · -34 lines 6e181df12ec1
  4. 11d ago Changed · +3 lines 496245c401b2
  5. 13d ago Changed · +4 lines · +1 tokens per session a9302920127b
  6. 15d ago Changed · -17 lines · -5 tokens per session 3631374d9901
  7. 18d ago Changed · +10 lines 3e6193788eaf
  8. 1mo ago Changed · -119 lines · +21 tokens per session 0a6ae7c5cdcf
  9. 1mo ago Changed · +14 lines acb537de8d40
  10. 1mo ago First seen · 265 lines · 66 tokens per session scan A 99c480d987b2

Subscribe to this mod's changes

premium-agent-orchestration is a skill published in the GitHub repository dryvist/claude-code-plugins (3 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,272 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

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