converge

converge is a skill for Claude Code, Codex from sjarmak/coding-agent-workflows. It costs 34 tokens per session (1,464 once invoked), scanned A, a copy of converge, MIT.

A structured debate workflow for comparing competing technical positions and producing a shared recommendation.

In plain words
What is it for?
Use it after independent research or divergent design proposals when several approaches need to be debated and combined.
Why use it?
It makes trade-offs explicit and turns different findings or proposals into a refined decision.

Skill for Claude CodeCodex

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

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 converge

README.md
[![agentmods](https://agentmods.dev/badge/skills/sjarmak/coding-agent-workflows/converge.svg)](https://agentmods.dev/skills/sjarmak/coding-agent-workflows/converge)
Your own site
<a href="https://agentmods.dev/skills/sjarmak/coding-agent-workflows/converge"><img src="https://agentmods.dev/badge/skills/sjarmak/coding-agent-workflows/converge.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,464 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 86% copy Near-identical to another mod 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 $0.00034 $0.01464
Opus 5 $0.00017 $0.00732
Sonnet 5 $0.00007 $0.00293
Haiku 4.5 $0.00003 $0.00146

Measured 3d ago against content hash 6290e8ae21bd, 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 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.

Origin

This is a copy

86% identical to converge — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

source/skills/converge/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Converge: Structured Debate and Refinement

Take divergent findings (from diverge or any independent research) and spawn a team whose members advocate for different positions, debate trade-offs, and converge on a refined synthesis.

Arguments

[N] [path/to/diverge_output.md | inline topic]

  • N is the number of debaters (default 3, min 2, max 5).
  • Input is a path to prior diverge output, a PRD with open tensions, or a description of the competing approaches.

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 · 162 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 · 162 lines · 34 tokens per session scan A 6290e8ae21bd

Subscribe to this mod's changes

converge is a skill published in the GitHub repository sjarmak/coding-agent-workflows (2 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 1,464 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to converge, differing in 29 lines, and is treated as a copy.

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