aif

aif is a skill for Claude Code, Codex from hightemp/go_computer_use_mcp_server. It costs 64 tokens per session (3,426 once invoked), scanned C, original, no licence file.

A project setup tool that examines a codebase, identifies its technology stack, installs related skills, creates custom skills, and configures MCP servers. MCP servers are external tools that an AI coding agent can use.

In plain words
What is it for?
Use it when starting a project, setting up its AI context, choosing relevant skills, or configuring connected tools.
Why use it?
It reduces the manual work of preparing an AI coding agent to understand and work with a new project.

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/hightemp/go_computer_use_mcp_server/aif
Any agent
npx skills add hightemp/go_computer_use_mcp_server --skill aif
Clone the repo
git clone --depth 1 https://github.com/hightemp/go_computer_use_mcp_server

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 aif

README.md
[![agentmods](https://agentmods.dev/badge/skills/hightemp/go_computer_use_mcp_server/aif.svg)](https://agentmods.dev/skills/hightemp/go_computer_use_mcp_server/aif)
Your own site
<a href="https://agentmods.dev/skills/hightemp/go_computer_use_mcp_server/aif"><img src="https://agentmods.dev/badge/skills/hightemp/go_computer_use_mcp_server/aif.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,426 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown 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 $0.00064 $0.03426
Opus 5 $0.00032 $0.01713
Sonnet 5 $0.00013 $0.00685
Haiku 4.5 $0.00006 $0.00343

Measured 4d ago against content hash f54ee25e6c17, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

aif scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

allowed-tools: Read Glob Grep Write Bash(mkdir *) Bash(npx skills *) Bash(python *security-scan*) Bash(rm -rf *) Skill WebFetch AskUserQuestion Questions
.codex/skills/aif/SKILL.md · 453 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 453 lines · 64 tokens per session scan C f54ee25e6c17

Subscribe to this mod's changes

aif is a skill published in the GitHub repository hightemp/go_computer_use_mcp_server (2 stars, last pushed 3mo ago), with no licence file. It adds 64 tokens to every session and 3,426 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright…

Wide-Moat/open-computer-use · 62 tokens

writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment.

Wide-Moat/open-computer-use · 20 tokens

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Assistant's capabilities with specialized knowledge, workflows, or tool integrations.

Wide-Moat/open-computer-use · 45 tokens

doc-coauthoring

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers.…

Wide-Moat/open-computer-use · 77 tokens

canvas-design

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

Wide-Moat/open-computer-use · 59 tokens

copy-editing

When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' 'copy sweep,' 'tighten this up,' 'this reads awkwardly,' 'clean up this text,' 'too wordy,' or 'sharpen the…

Wide-Moat/open-computer-use · 115 tokens