ai-chat-speed-booster: Speeds up large AI chats by loading only the most recent messages, keeping long conversations fast

by Noah4ever · Agent Tool · ★ 106

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

How to install ai-chat-speed-booster

git clone https://github.com/Noah4ever/ai-chat-speed-booster.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

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.

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.

aiai-toolsboostchatchatgptchrome-extensionedge-extensionextensionfirefox-extensionsafari-extension

Quick Facts

Stars106
Forks8
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Open Issues7
Last Updated2026-05-20
Created2026-02-27
Platformsbrowser, node
Est. Tokens~174k

About ai-chat-speed-booster

AI Chat Speed Booster Website: projects.thiering.org/ai-chat-speed-booster Keeps long AI chat conversations responsive by showing only recent messages first, then letting you load older ones when you need them. Works on ChatGPT, Claude, Gemini, and any AI chat app you add to the config.

Compatible Skills

These tools work well together with ai-chat-speed-booster for enhanced workflows:

  • nanobrowser — semantic(0.30)+complementary+rare_topics+same_lang+shared_platform (54%)

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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:

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