system_prompts_leaks: Leaked system prompts of ChatGPT, Claude, Gemini and more

by asgeirtj · Codex Skill · ★ 70.9k

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

Security audit verdict: SAFE · quality 53/100

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.

aiai-agentsai-promptsanthropicchatbotchatgptclaudeclaude-codecodexcursor

Quick Facts

Stars70,944
Forks11,461
LanguagePython
CategoryCodex Skill
LicenseCC0-1.0
Quality Score53/100
Open Issues22
Last Updated2026-11-06
Created2025-05-03
Platformsclaude-code, codex, gemini, python
Est. Tokens~15k

About system_prompts_leaks

System Prompts Leaks Extracted system prompts, system messages, and developer instructions from popular AI chatbots and coding assistants — ChatGPT (GPT-5.4, GPT-5.3, Codex), Claude (Opus 4.6, Sonnet 4.6, Claude Code), Gemini (3.1 Pro, 3 Flash, Gemini CLI), Grok (4.2, 4), Perplexity, and more. Updated regularly with new models and versions. PRs welcome. Anthropic — Claude [S

Compatible Skills

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  • zcf — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (48%)
  • code2prompt — semantic(0.21)+complementary+similar_pop+shared_platform (47%)

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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