decision

decision is a skill for Claude Code, Codex from ResearAI/DeepScientist. It costs 35 tokens per session (2,184 once invoked), scanned A, original, Apache-2.0.

A decision-making workflow for choosing whether to continue, stop, branch, reuse earlier work, write, reset, or ask the user.

In plain words
What is it for?
Use it to review the available evidence, record a route decision, and identify the smallest next action.
Why use it?
It helps when the next step is unclear, evidence conflicts, or the current route may no longer be valid.

Skill for Claude CodeCodex

About the project

DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.

ResearAI/DeepScientist · 3,314 stars · on GitHub

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/researai/deepscientist/decision
Any agent
npx skills add ResearAI/DeepScientist --skill decision
Clone the repo
git clone --depth 1 https://github.com/ResearAI/DeepScientist

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 decision

README.md
[![agentmods](https://agentmods.dev/badge/skills/researai/deepscientist/decision.svg)](https://agentmods.dev/skills/researai/deepscientist/decision)
Your own site
<a href="https://agentmods.dev/skills/researai/deepscientist/decision"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/decision.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,184 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 $0.00035 $0.02184
Opus 5 $0.00017 $0.01092
Sonnet 5 $0.00007 $0.00437
Haiku 4.5 $0.00003 $0.00218

Measured 5d ago against content hash 95d3431099a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

decision 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.

src/skills/decision/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision

Use this skill whenever continuation is non-trivial. Use it to make one route judgment from durable evidence and then get the quest moving again.

Match signals

Use decision when:

  • the next stage is not obvious
  • the evidence is mixed
  • the current line may need to stop
  • the quest needs a branch, reset, or reuse-baseline judgment
  • a user preference-sensitive choice remains
  • a blocker needs an explicit route

Do not use decision when:

  • the active mainline is still too ambiguous for a real route judgment and should first be reconciled through intake-audit
  • the next move is already obvious from durable evidence and can proceed directly
  • the task is really baseline recovery, scouting, ideation, or execution rather than a route judgment

One-sentence summary

Make one route judgment from durable evidence, record the verdict and smallest valid action, then keep the quest moving.

Control workflow

  1. Check whether the board is decision-ready. If the current mainline, latest decisive result, or stale-route state is unclear, route through intake-audit first.
  2. State the real question and gather only decision-relevant evidence. Compress the strongest support, strongest contradiction, main risk, main cost, and what is genuinely new.
  3. Choose the smallest canonical action that resolves the current state. Make the winner, main rejected alternatives, and the decisive reason explicit.
  4. Record the decision durably. Include verdict, action, reason, evidence paths, and next stage or next direction.
  5. Ask the user only when local evidence cannot safely resolve a real preference, scope, or cost choice.

AVOID / pitfalls

  • Do not repeat the same decision without new evidence.
  • Do not decide from vibe, momentum, or optimism.
  • Do not hide a blocked state behind a vague “continue”.
  • Do not launch analysis campaigns casually when the expected information gain is weak.
  • Do not choose among candidate packages without naming why the alternatives lost.
  • Do not imply baseline reuse is resolved unless the concrete attachment and confirmation path is clear.
  • Do not choose finalize for a paper line unless manuscript coverage reports submission_ready=true; a draft checkpoint routes back to write, and a review package routes to review.
  • Do not keep a paper route alive after a publishability stop-loss finding. If durable evidence shows that novelty, evidence sufficiency, or reader value has collapsed beyond reasonable narrowing, recommend stop or branch, and record any narrowed non-paper objective as the next direction rather than as a new action. Do not execute stop for a low-quality paper judgment without asking the user to confirm that route.

Read the full file on GitHub · 202 lines

Files

What ships with it

4 files 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. 5d ago First seen · 202 lines · 35 tokens per session scan A 95d3431099a4

Subscribe to this mod's changes

decision is a skill published in the GitHub repository ResearAI/DeepScientist (3,314 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,184 once invoked, about $0.0002 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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