fusion-agent

fusion-agent is a skill for Claude Code, Codex from humanerd-drew/opencode-drewgent. It costs 68 tokens per session (1,529 once invoked), scanned A, original, MIT.

A method for asking several language-model agents to examine a difficult question independently and then having another agent combine their findings.

In plain words
What is it for?
Use it for research, architecture choices, code reviews, expert criticism, and other ambiguous tasks with several reasonable answers.
Why use it?
It exposes disagreements, blind spots, and trade-offs that one answer may miss, especially when the cost of a wrong decision is high.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; positional $N argument; mentions OpenCode.

Good fit Use it for research, architecture choices, code reviews, expert criticism, and other ambiguous tasks with several reasonable answers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/humanerd-drew/opencode-drewgent/fusion-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.

Any agent
npx skills add humanerd-drew/opencode-drewgent --skill fusion-agent
Clone the repo
git clone --depth 1 https://github.com/humanerd-drew/opencode-drewgent

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 fusion-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/fusion-agent.svg)](https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/fusion-agent)
Your own site
<a href="https://agentmods.dev/skills/humanerd-drew/opencode-drewgent/fusion-agent"><img src="https://agentmods.dev/badge/skills/humanerd-drew/opencode-drewgent/fusion-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,529 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 $0.00068 $0.01529
Opus 5 $0.00034 $0.00764
Sonnet 5 $0.00014 $0.00306
Haiku 4.5 $0.00007 $0.00153

Measured 3d ago against content hash 092e5dc38c0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

fusion-agent 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 3d 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.

skills/software-development/fusion-agent/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fusion Agent — Multi-Model Deliberation on OpenCode Go

Concept

Fusion은 여러 관점에서 동시에 분석한 뒤 구조화된 취합을 거쳐 최종 답변을 만드는 패턴. OpenRouter는 이걸 인프라 레벨(panel + judge API)로 제공하지만, OpenCode Go에서는 같은 패턴을 task()로 구현 가능 — 구독료 안에 포함되어 추가 비용 없음.

flowchart LR
  request[Research Question] --> orchestrator[You / Orchestrator]
  orchestrator -- panel: parallel delegate_task --> P1[Explorer: perspective A]
  orchestrator --> P2[Explorer: perspective B]
  orchestrator --> P3[Explorer: perspective C]
  P1 --> judge[Judge: structure analysis]
  P2 --> judge
  P3 --> judge
  judge -- consensus / contradictions / blind spots --> orchestrator
  orchestrator --> answer[Final Answer]

When to Use

Use Fusion Don't Bother
Research questions: "Compare X and Y" Short tactical prompts: "What's the weather?"
High-stakes: code review, architecture decision Simple Q&A with a known answer
Expert critique: "What are the strongest arguments for/against?" One-line implementations
Ambiguous: multiple valid answers, trade-offs Fact lookup (single source of truth)
Cost of being wrong > cost of extra completions Time-sensitive: Fusion adds latency

Since OpenCode Go is subscription ($0/call marginal), cost is never the reason to skip Fusion — only latency matters.

How to Run Fusion (3 Phases)

Phase 1: Panel — Parallel Deliberation

Spawn N subagents (2-5), each with a distinct perspective. Use explorer profile (or implementer for code tasks) — flash-tier is fine since the judge catches blind spots.

task(subagent_type="explorer", description="Security analysis", prompt="Analyze this question from a security perspective: <question>")
task(subagent_type="explorer", description="Performance analysis", prompt="Analyze this question from a performance perspective: <question>")
task(subagent_type="explorer", description="Maintainability analysis", prompt="Analyze this question from a maintainability perspective: <question>")

Read the full file on GitHub · 147 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. 3d ago First seen · 147 lines · 0 tokens per session scan A 092e5dc38c0e

Subscribe to this mod's changes

fusion-agent is a skill published in the GitHub repository humanerd-drew/opencode-drewgent (2 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,529 once invoked, about $0.0003 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 2026-09-03.

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