attention-control — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by aaddrick · Codex Skill · ★ 59

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About attention-control

Attention Control Air traffic control discipline for agent output. Written for a reader with ADHD. Connect on LinkedIn! English · 简体中文 · 日本語 · 한국어 · Tiếng Việt · Português (BR) Install Claude Code Claude Code is the only agent here with a native output style slot. Run these two commands

accessibilityadhdagent-skillagent-skillsagents-mdai-agentsclaude-codeclaude-code-pluginclaude-code-skillclaude-code-skills

Quick Facts

Stars59
Forks2
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score69.1225587094604/100
Open Issues1
Last Updated2026-08-09
Created2026-08-02
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~16k

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Frequently Asked Questions

What is attention-control?

attention-control is Air traffic control discipline for agent output. Written for a reader with ADHD.. It is categorized as a Codex Skill with 59 GitHub stars.

What programming language is attention-control written in?

attention-control is primarily written in Python. It covers topics such as accessibility, adhd, agent-skill.

How do I install or use attention-control?

You can find installation instructions and usage details in the attention-control GitHub repository at github.com/aaddrick/attention-control. The project has 59 stars and 2 forks, indicating an active community.

What license does attention-control use?

attention-control is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to attention-control?

The top alternatives to attention-control on Agent Skills Hub include hush, agent-skills, awesome-ai-agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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