converge

converge is a skill for Claude Code, Codex from sjarmak/agent-workflows. It costs 0 tokens per session (1,386 once invoked), scanned A, original, MIT.

A structured debate workflow that uses several AI agents to compare competing approaches and produce a refined conclusion. Agent Teams is a feature that lets multiple agents work together.

In plain words
What is it for?
Use it to debate alternatives from independent research, a product requirements document, or another description of open trade-offs.
Why use it?
It gives conflicting research or design options a defined comparison process instead of leaving one person to reconcile them informally.

Skill for Claude CodeCodex

Part of the agent-workflows plugin — 28 skills, 4 agents, 4 hooks shipped together

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.

agentmods
npx agentmods add skills/sjarmak/agent-workflows/converge
Any agent
npx skills add sjarmak/agent-workflows --skill converge
Clone the repo
git clone --depth 1 https://github.com/sjarmak/agent-workflows

Made for: Claude Code, Codex.

Or install agent-workflows, the plugin that ships this one along with the rest of its 28 skills, 4 agents, 4 hooks.

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 converge

README.md
[![agentmods](https://agentmods.dev/badge/skills/sjarmak/agent-workflows/converge.svg)](https://agentmods.dev/skills/sjarmak/agent-workflows/converge)
Your own site
<a href="https://agentmods.dev/skills/sjarmak/agent-workflows/converge"><img src="https://agentmods.dev/badge/skills/sjarmak/agent-workflows/converge.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.01386
Opus 5 $0.00000 $0.00693
Sonnet 5 $0.00000 $0.00277
Haiku 4.5 $0.00000 $0.00139

Measured 5d ago against content hash e5cc0d2e5c89, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

converge 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 5d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • converge — 86% identical, 29 lines differ
skills/converge/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.

Structured debate and refinement using Agent Teams. Takes divergent findings (from /diverge or any independent research) and spawns a team where teammates advocate for different positions, debate trade-offs, and converge on a refined synthesis.

Arguments

$ARGUMENTS — format: [N] [path/to/diverge_output.md or inline topic] where N is optional number of debaters (default: 3, min 2, max 5)

Prerequisites

  • Agent Teams must be enabled (CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1)
  • Input should be divergent findings — either a file path to prior /diverge output, a PRD with open tensions, or a description of competing approaches

Parse Arguments

Extract:

  • team_size: optional leading integer (default 3, min 2, max 5)
  • input: path to a file with divergent findings, or inline description of the debate topic

Phase 0: Validate Teams Availability

Check that Agent Teams is enabled. If not, inform the user:

Agent Teams is required for /converge. Enable it by adding to your Claude Code settings:
  "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }
Or use /diverge for independent exploration without debate.

Phase 1: Frame the Debate

If a file path is provided: read the file and extract the key tensions, divergence points, and competing recommendations.

If inline input: parse the competing positions from the description.

If neither is clear: ask the user what positions or findings should be debated.

Prepare a debate brief that includes:

  • The core question or decision to be made
  • 2-5 distinct positions to be advocated (one per teammate)
  • Shared context and constraints all positions must respect
  • Evaluation criteria: what makes one approach better than another?

Present the debate brief and position assignments to the user for confirmation.

Phase 2: Spawn the Team

Create an agent team with the following structure:

Team Lead (you): Moderator and synthesizer. You frame rounds, call for responses, and produce the final synthesis.

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. 5d ago First seen · 147 lines · 0 tokens per session scan A e5cc0d2e5c89

Subscribe to this mod's changes

converge is a skill published in the GitHub repository sjarmak/agent-workflows (9 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,386 tokens. 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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