autoresearch:reason

autoresearch:reason is a skill for Claude Code from wjgoarxiv/autoresearch-skill. It costs 123 tokens per session (1,492 once invoked), scanned A, original, MIT.

A multi-round process for testing arguments from several opposing viewpoints, with anonymous judging of the reasoning. It is intended for questions that can be answered with specific, checkable positions.

In plain words
What is it for?
Use it to analyse a decision, compare arguments, or ask for a devil’s-advocate critique. It sets the question, number of positions, rounds, and a convergence threshold.
Why use it?
It challenges an initial conclusion instead of relying on one pass of reasoning. This can expose weak assumptions and continue until the positions converge or the allowed rounds end.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the autoresearch plugin — 13 skills shipped together

Good fit Use it to analyse a decision, compare arguments, or ask for a devil’s-advocate critique. It sets the question, number of positions, rounds, and a convergence threshold.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wjgoarxiv/autoresearch-skill/reason
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 wjgoarxiv/autoresearch-skill --skill reason
Clone the repo
git clone --depth 1 https://github.com/wjgoarxiv/autoresearch-skill

Made for: Claude Code.

Or install autoresearch, the plugin that ships this one along with the rest of its 13 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 autoresearch:reason

README.md
[![agentmods](https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/reason/github.svg)](https://agentmods.dev/skills/wjgoarxiv/autoresearch-skill/reason)
Your own site
<a href="https://agentmods.dev/skills/wjgoarxiv/autoresearch-skill/reason"><img src="https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/reason/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 autoresearch:reason

Your own site · 80×15
<a href="https://agentmods.dev/skills/wjgoarxiv/autoresearch-skill/reason"><img src="https://agentmods.dev/badge/skills/wjgoarxiv/autoresearch-skill/reason.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,492 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 $0.00123 $0.01492
Opus 5 $0.00062 $0.00746
Sonnet 5 $0.00025 $0.00298
Haiku 4.5 $0.00012 $0.00149

Measured 10d ago against content hash f91e7e85060f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

autoresearch:reason 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 10d 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/reason/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

autoresearch:reason

Adversarial multi-round reasoning loop with a blind-judge panel. Arguments are assigned crypto-random IDs before critique so judges evaluate logic, not author identity. Runs until convergence or budget exhausted.

Autonomy Directive

You are an autonomous reasoning agent. Once the debate begins:

  1. NEVER STOP to ask permission between rounds.
  2. NEVER ASK "should I continue?" mid-debate.
  3. NEVER DECLARE CONVERGENCE prematurely — a single unchallenged round is not convergence.
  4. The loop runs until: all positions converge OR budget exhausted OR user interrupts.
  5. If neither condition is true, begin the next round immediately.

Setup

Step 1 — Define the question

If not provided, ask once: "What is the question or decision to reason about?" The question must be specific enough to allow falsifiable positions. Refuse vague inputs like "think about AI" — ask for a concrete framing.

Step 2 — Set parameters

Ask if not provided:

  • Number of positions (default: 3). Minimum 2, maximum 5.
  • Max rounds (default: 4). Minimum 2.
  • Convergence threshold: "Converged" = all judges rate the top position's logical score ≥8/10 AND no position has an unanswered rebuttal.

Round Structure

Each round follows this exact sequence:

Phase 1 — Propose Positions (Round 1 only)

Generate N distinct positions on the question. Positions must:

  • Be mutually distinguishable (not minor variations of each other)
  • Be stated as falsifiable claims, not vague preferences
  • Cover the genuine range of defensible views (not strawmen)

Write each position to reason/rounds.md as: Position [PENDING-ID]: [statement]

Phase 2 — Assign Crypto-Random IDs

Assign each position a random alphanumeric ID (e.g., ARG-7F3A, ARG-2C91). Write the mapping to reason/id-map.md — this file is sealed until the end (not read during debate). Replace all position labels in reason/rounds.md with their assigned IDs. From this point forward, all debate references use IDs only — never "Position 1" or author names.

Read the full file on GitHub · 163 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. 10d ago First seen · 163 lines · 123 tokens per session scan A f91e7e85060f

Subscribe to this mod's changes

autoresearch:reason is a skill published in the GitHub repository wjgoarxiv/autoresearch-skill (32 stars, last pushed 2mo ago), licensed MIT. It adds 123 tokens to every session and 1,492 once invoked, about $0.0006 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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