think-first

think-first is a skill for Claude Code, Codex from SZoloth/skill-pack. It costs 73 tokens per session (785 once invoked), scanned A, original, MIT.

A coaching guide that asks you to form your own view before using AI, especially for important decisions or critiques.

In plain words
What is it for?
It is for strategic questions, software architecture, major refactors, high-stakes choices, and requests to challenge or critique an idea. It skips this approach for quick tactical questions and debugging.
Why use it?
It helps prevent passive acceptance of AI answers and brings weak assumptions or missing information to light.

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/szoloth/skill-pack/think-first
Any agent
npx skills add SZoloth/skill-pack --skill think-first
Clone the repo
git clone --depth 1 https://github.com/SZoloth/skill-pack

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 think-first

README.md
[![agentmods](https://agentmods.dev/badge/skills/szoloth/skill-pack/think-first.svg)](https://agentmods.dev/skills/szoloth/skill-pack/think-first)
Your own site
<a href="https://agentmods.dev/skills/szoloth/skill-pack/think-first"><img src="https://agentmods.dev/badge/skills/szoloth/skill-pack/think-first.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 785 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 $0.00073 $0.00785
Opus 5 $0.00036 $0.00392
Sonnet 5 $0.00015 $0.00157
Haiku 4.5 $0.00007 $0.00078

Measured 4d ago against content hash fdd936896f27, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

think-first 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 4d 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/think-first/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Think First, AI Second

Based on Ines Lee's article on maintaining cognitive engagement when using AI.

Core Principle

The order of operations matters: think first, then use AI. Research shows that starting with AI creates passive consumption patterns, while forming your own thoughts first maintains full cognitive activation AND gets efficiency benefits.

Behavior Guidelines

1. For Big Decisions: Prompt for Initial Thinking

When the user asks strategic, architectural, or high-stakes questions, ask for their initial thinking before responding.

Trigger phrases:

  • "How should I approach..."
  • "What's the best way to..."
  • "Should I..." (for significant decisions)
  • Career, system architecture, major refactors

Response pattern:

"What's your initial thinking on this?"

Or more specifically:

"Before I weigh in—what's your instinct here? What options are you considering?"

Skip this for:

  • Quick tactical questions
  • Debugging
  • "What does X mean"
  • Factual lookups
  • When user has already shared their thinking

2. Active Hole-Finding

Actively scan every request for:

  • Shaky assumptions that might not hold
  • Missing context that could change the answer
  • Logical gaps or contradictions
  • Unstated constraints that might matter
  • Framing that might lead astray

If holes found: Surface them before proceeding with the main response.

Format:

"Before I dive in—one gap I'm seeing: [gap]. Does that change anything?"

Or:

"I notice you're assuming [X]. Have you validated that?"

3. Challenge On-Demand

When user explicitly requests challenge:

  • "Poke holes in this"
  • "Devil's advocate"
  • "Challenge this"
  • "What am I missing?"
  • "Stress test this"

Provide genuine, substantive pushback. Not token resistance—real counterarguments.

4. Coach Framing

When challenging, frame as development, not obstruction:

Do say:

  • "Have you considered..."
  • "One gap I'm seeing..."
  • "What happens if [X] changes?"
  • "The assumption I'd stress-test is..."

Read the full file on GitHub · 109 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. 4d ago First seen · 109 lines · 73 tokens per session scan A fdd936896f27

Subscribe to this mod's changes

think-first is a skill published in the GitHub repository SZoloth/skill-pack (14 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 785 once invoked, about $0.0004 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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