CLOUDM0N
Repository intelligence

x1xhlol/system-prompts-and-models-of-ai-tools

GitHub

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

CLOUDM0N decision
WORTH TRYING
Trust PASS · 100/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
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Scanner unavailable
Critical
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High
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Medium
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Low
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View trust evidence & security findings▼
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
Architecture from code34 modules · 0 edges▼
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
0
Modules
34
Dependency edges
0
Core modules
Dependency flow
No dependency edges were extracted.
Detected languages
—
Detected frameworks
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Architecture evidence details
flowchart TD
    %% repo — high-level architecture (DRAFT, refine me)
Agent handoff
Use with any agent
JSON API
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