Repository intelligence

WJZ-P/gemini-skill

GitHub

Looking to add image generation superpowers to your AI agents? This nifty MCP server lets any MCP-compatible agent (especially OpenClaw) tap into Gemini's drawing capabilities straight through the browser. Whether you're building automation workflows or multi-agent systems that need visual output, this project bridges the gap between AI agents and browser-based image generation without the usual complexity headaches.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 65/100
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
2
CLOUDM0N scanner findings
Critical
0
High
1
Medium
1
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
HIGH
11 high severity dependency vulnerability/vulnerabilities reported by npm audit.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 1 sample match(es) found.
Architecture from code6 modules · 1 edges
Structural evidence

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

Code files
16
Modules
6
Dependency edges
1
Core modules
src
12 files
src/daemon
4 files
Dependency flow
src/daemonsrc
Detected languages
JavaScript
Detected frameworks
MCP SDK
Architecture evidence details
flowchart TD
    %% gemini-skill — high-level architecture (DRAFT, refine me)
    n0["src · 12 files"]
    n1["src/daemon · 4 files"]
    n1 --> n0
Agent handoff
Use with any agent
JSON API
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