system-prompts-and-models-of-ai-tools: FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable

by x1xhlol · AI Skill · ★ 144.0k

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Security audit verdict: SAFE · quality 54/100

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.

aiboltcluelycopilotcursorcursoraidevingithub-copilotlovableopen-source

Quick Facts

Stars143,957
Forks34,760
CategoryAI Skill
LicenseGPL-3.0
Quality Score54/100
Open Issues162
Last Updated2026-10-12
Created2025-03-05
Platformsclaude-code, vscode
Est. Tokens~16k

About system-prompts-and-models-of-ai-tools

Support my work here: Bags.fm • Jupiter • Photon • DEXScreener Official CA: DEffWzJyaFRNyA4ogUox631hfHuv3KLeCcpBh2ipBAGS (on Solana) ❤️ Love when open-source tools give back to open-source repos. Kilo Code is an AI coding agent with the system prompt, source code, and agent architecture all in the open on their GitHub repo.

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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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