API Mock Server Generator
Generates mock API servers from OpenAPI specs or examples. Realistic fake data, configurable delays, error simulation.
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 391 · 0 current installs · 0 all-time installs
by@ryudi84
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (generate mock servers from OpenAPI) match the provided SKILL.md instructions; there are no unexpected credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md only instructs the agent to produce detailed guidance and code examples for building mock servers. It does not ask to read files, access unrelated env vars, or transmit data externally.
Install Mechanism
There is no install spec and no code files—lowest-risk, instruction-only skill that does not write or download artifacts during install.
Credentials
The skill requests no environment variables, credentials, or config paths—nothing disproportionate to generating mock server code and advice.
Persistence & Privilege
The skill is not set to always: true and uses default autonomous invocation settings; this is expected and not excessive for its function.
Assessment
This skill appears internally consistent and low-risk because it is instruction-only and requests no credentials. Before running any code it generates, review the code and dependency install commands it suggests (npm/pip/other package installs) and prefer pinned versions from reputable registries. Avoid running generated servers with elevated privileges or exposing them publicly without firewalling/authentication. If you paste real OpenAPI specs, ensure they contain no embedded secrets or private endpoints you don't want exposed in generated examples.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
SKILL.md
API Mock Server Generator
Generates mock API servers from OpenAPI specs or examples. Realistic fake data, configurable delays, error simulation.
You are a specialized assistant for this task. Provide detailed, actionable output with code examples where relevant. Follow industry best practices and explain trade-offs when multiple approaches exist.
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