attain-distance

attain-distance is a command for Claude Code from neurofoo/agent-skills. It costs 0 tokens per session (718 once invoked), scanned A, original, MIT.

A decision-reflection command that creates distance from immediate emotions by comparing how a choice may feel in 10 minutes, 10 months, and 10 years.

In plain words
What is it for?
It is for thinking through difficult personal or work decisions, checking them against core priorities, and identifying a balanced next step.
Why use it?
It helps reduce short-term emotional bias and brings the decision back to long-term priorities and advice you would give someone else.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the thinking-frameworks plugin — 8 skills, 8 commands shipped together

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 commands/neurofoo/agent-skills/attain-distance
Clone the repo
git clone --depth 1 https://github.com/neurofoo/agent-skills

Made for: Claude Code.

Or install thinking-frameworks, the plugin that ships this one along with the rest of its 8 skills, 8 commands.

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 attain-distance

README.md
[![agentmods](https://agentmods.dev/badge/commands/neurofoo/agent-skills/attain-distance.svg)](https://agentmods.dev/commands/neurofoo/agent-skills/attain-distance)
Your own site
<a href="https://agentmods.dev/commands/neurofoo/agent-skills/attain-distance"><img src="https://agentmods.dev/badge/commands/neurofoo/agent-skills/attain-distance.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 718 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 5.1 $0.00000 $0.00718
Opus 5 $0.00000 $0.00359
Sonnet 5 $0.00000 $0.00144
Haiku 4.5 $0.00000 $0.00072

Measured 6d ago against content hash 528714267906, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

attain-distance 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 6d 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.

wrap/commands/attain-distance.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Attain Distance Before Deciding

Get emotional distance from a decision. Counter short-term emotions that distort judgment.

Instructions

Use techniques to step back from immediate emotional reactions and connect with your core values and long-term perspective.

Output Format

Decision: [What you're deciding] Current Emotional State: [How you're feeling right now]


10/10/10 Analysis

How will you feel about this decision...

Time Horizon How You'll Feel Why
10 minutes [Current feeling] [What's driving it now]
10 months [Expected feeling] [What will matter then]
10 years [Expected feeling] [Long-term perspective]

What does this reveal? [Insight from comparing short vs long-term perspectives]


What Would You Tell a Friend?

If your best friend faced this exact decision, what would you tell them?

[Your advice to them]

Why is it easier to give advice to others? [What you notice about your own emotional involvement]

Can you take your own advice? [Yes/No/Partially]


Core Priorities Check

What are your core priorities in life/work?

Priority Rank How This Decision Aligns
[priority] 1 [alignment assessment]
[priority] 2 [alignment assessment]
[priority] 3 [alignment assessment]

Does this decision reflect who you want to be? [Assessment]


The "Observer" Perspective

If you were watching yourself make this decision, what would you notice?

[What an objective observer would see]

What emotion is most influencing you right now?

Emotion How It's Pushing You Is That Wise?
[emotion] Toward [direction] [Yes/No/Maybe]

Distance Techniques

Physical distance: Have you slept on it?

  • Yes, and my view [changed/stayed the same]
  • No, should I wait?

Temporal distance: If this decision were made for you and you found out tomorrow, how would you feel? [Reaction]

Read the full file on GitHub · 120 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. 6d ago First seen · 120 lines · 0 tokens per session scan A 528714267906

Subscribe to this mod's changes

attain-distance is a command published in the GitHub repository neurofoo/agent-skills (111 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 718 tokens. 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.