debate-agents

debate-agents is a skill for Claude Code, Codex from forsvn-labs/meta-skills. It costs 65 tokens per session (513 once invoked), scanned A, original, MIT.

A structured decision process that makes separate, well-supported cases for different choices before selecting one. It is meant for important questions where more than one answer could be reasonable.

In plain words
What is it for?
Use it to compare competing strategies, designs, technical approaches, or business decisions. It helps document why an option was chosen and what could prove it wrong.
Why use it?
It reduces rushed agreement and exposes the evidence, risks, and facts that would change the decision. It helps prevent one person’s preference from being treated as the conclusion.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents.

Part of the conquistador plugin — 21 skills shipped together

Good fit Use it to compare competing strategies, designs, technical approaches, or business decisions. It helps document why an option was chosen and what could prove it wrong.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/forsvn-labs/meta-skills/debate-agents
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 forsvn-labs/meta-skills --skill debate-agents
Clone the repo
git clone --depth 1 https://github.com/forsvn-labs/meta-skills

Made for: Claude Code, Codex.

Or install conquistador, the plugin that ships this one along with the rest of its 21 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 debate-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/debate-agents/github.svg)](https://agentmods.dev/skills/forsvn-labs/meta-skills/debate-agents)
Your own site
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/debate-agents"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/debate-agents/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 debate-agents

Your own site · 80×15
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/debate-agents"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/debate-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 513 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 $0.00065 $0.00513
Opus 5 $0.00032 $0.00257
Sonnet 5 $0.00013 $0.00103
Haiku 4.5 $0.00006 $0.00051

Measured 11d ago against content hash 75c178e7f0db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

debate-agents 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 11d 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/debate-agents/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debate agents

Turn a consequential decision into independent positions, direct disagreement, and an honest choice.

Establish the stakes

Name the decision and why it is consequential enough to warrant structured disagreement. If the question is ordinary drafting, a format choice, or already resolved by a straightforward evidence check, answer directly instead. Never stage a panel as visible process.

Build independent positions

Create at least two positions that start from different first principles rather than echoing the drafting bias or the user's preference. Each position must independently defend:

  • premise: the claim that must be true for it to win;
  • evidence: observed support and where it comes from;
  • upside and downside;
  • risk and what would go wrong;
  • disconfirming condition: the smallest fact that would break the position.

Make them disagree

Confront each position with the strongest version of the others. Attack the weakest link of each position, not a straw man. When the briefing or user already favors one side, explicitly test the opposite. Guard against sycophancy: agreement is not correctness, and a position is not true because it flatters the request or repeats prior drafting.

Resolve with explicit criteria

State the decision criteria before choosing—for example reversibility, downside severity, evidence strength, or fit to the user's values. A single resolver applies the criteria and chooses; it must not average the positions or split the difference. Return the chosen position, the criteria used, and the evidence that would reverse the choice.

Honest deadlock

If criteria and current evidence genuinely cannot separate the positions, say so plainly instead of manufacturing consensus. Name the smallest test, fact, or source that would break the tie. If the decision cannot wait, give the best bounded choice with the assumption explicitly labeled.

Optional panel only when consequential

Offer a multi-agent panel only when the uncertainty is consequential and the host supports subagents. Keep agents, votes, and internal reasoning private; return the decision and its reversal condition. A capable single-agent application of this method remains the fallback in every host.

Read the full file on GitHub · 55 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. 11d ago First seen · 55 lines · 65 tokens per session scan A 75c178e7f0db

Subscribe to this mod's changes

debate-agents is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 513 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 2026-08-30.

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