cekura-create-agent
Use when the user asks to "create a main agent", "set up a main agent", "add my main agent to Cekura", "configure my main agent", "connect my main agent", "set up mock tools", "add tools to my agent", "upload knowledge base", "configure integration", "connect VAPI", "connect Retell", "connect LiveKit", "connect ElevenLabs", "add dynamic variables", or needs to onboard a voice AI agent onto the Cekura platform. Covers the full agent setup flow: project selection, provider selection, basics and connection type, description, main agent creation, mock tools, knowledge base, dynamic variables, and advanced configuration.
70
85%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
Security
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
Insecure credential handling detected (high risk: 1.00). The prompt explicitly instructs the agent to collect provider API keys/credentials up front and to use them in API calls (e.g., "X-CEKURA-API-KEY: <key>" and api_key + agent_id for auto-import), which forces the LLM to receive and include secret values verbatim in requests or generated commands.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
Potentially malicious external URL detected (high risk: 1.00). The skill explicitly instructs cloning and running remote code at runtime from the official WebSocket server repo (https://github.com/cekura-ai/llm-websocket-server-example) — i.e., git clone + python/pip steps that fetch and execute third-party code used to replicate the agent.
- Repository
- cekura-ai/cekura-skills
- Commit
7a49e22
- Audited
- Security analysis
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