adhd: A skill for coding agents

by UditAkhourii · Codex Skill · ★ 4.5k

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

How to install adhd

npx skills add UditAkhourii/adhd
npx skills add UditAkhourii/adhd -g            # install globally instead of per-project

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

adhdagentsaiai-agentsbrainstormchain-of-thoughtclaudeclaude-agent-sdkcreativitydivergent-thinking

Quick Facts

Stars4,462
Forks299
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues13
Last Updated2026-10-25
Created2026-05-25
Platformsclaude-code, codex, node
Est. Tokens~19k

About adhd

ADHD — a skill for agents An architectural fix for premature convergence in autoregressive reasoning. 📄 Preprint: ADHD: Parallel Divergent Ideation for Coding Agents 👤 Author: Udit Akhouri — @akhouriudit · LinkedIn · researchudit@gmail.com Linear Chain-of-Thought gets trapped in local minima: each generated token conditions the next, so the model anchors on whatever it said first.

Compatible Skills

These tools work well together with adhd for enhanced workflows:

  • Kagura — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Codex Skill tools