Borrowing it
Nothing to install: this file belongs to teejayen/arc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/teejayen/arc/main/.claude/skills/setup/SKILL.mdgit clone --depth 1 https://github.com/teejayen/arcWrote 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.
[](https://agentmods.dev/skills/teejayen/arc/setup)<a href="https://agentmods.dev/skills/teejayen/arc/setup"><img src="https://agentmods.dev/badge/skills/teejayen/arc/setup/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.
<a href="https://agentmods.dev/skills/teejayen/arc/setup"><img src="https://agentmods.dev/badge/skills/teejayen/arc/setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.02243 |
| Opus 5.5 | $0.00008 | $0.00897 |
| Sonnet 5.5 | $0.00004 | $0.00449 |
| Haiku 4.5 | $0.00002 | $0.00224 |
Grade A, and why
setup 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup
Customise Arc for your personal use. This wizard gathers information about you, helps you articulate your guiding principles, and generates personalised configuration files.
When to Use
- First time using Arc
- Want to update your context or preferences
- Adding new projects or life areas
- Refining your guiding principles
- Changing communication preferences
Execution Steps
Step 1: Welcome
Introduce Arc and explain what this setup will do:
Welcome to Arc - your personal thinking partner.
I'll help you set up Arc through a conversation. We'll cover:
- Who you are and what you're working on
- Your guiding principles (what matters, how you want to spend your time)
- Privacy settings for sensitive terms
- Any context you want me to understand
The more context you give me, the better I can think alongside you.
Let's get started.
Step 2: Gather Context via Inbox
Encourage the user to dump context into the inbox:
Before we dive into questions, here's an idea:
If you have existing documents that capture who you are - journal entries,
notes, plans, reflections, even old todo lists - drop them into the `inbox/`
folder. I'll review them and use that context to understand you better.
This could include:
- Notes from previous AI conversations
- Annual reviews or reflections
- Project plans or ideas
- Anything that captures how you think
Want to add anything to inbox/ first, or shall we proceed with questions?
If they add files to inbox:
ls -la inbox/
Read each file and extract:
- Recurring themes
- Projects mentioned
- Values or principles implied
- Communication style
- Life areas that matter to them
Use this context to inform the questions and to pre-populate configuration.
Step 3: Personal Context
Ask about the user. Be conversational, not interrogative. Adapt based on what you learned from inbox context.
Questions to explore (adapt based on their responses):
-
"What should I call you?"
-
"What's your work context? This helps me understand your day-to-day. (Job title, company/industry - as much or little as you want to share)"
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.
- 2mo ago First seen · 363 lines · 21 tokens per session scan A f2d5a66306cc
setup is a skill published in the GitHub repository teejayen/arc (5 stars, last pushed 9mo ago), licensed MIT. It adds 21 tokens to every session and 2,243 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setupteejayen/arc | Skill | 5 | 9mo ago | MIT | A | 21 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |