27/05/2026
Cursor agents that look correct on inspection and break at runtime. Wrong tool path in one place, right in another. Missing terminal condition. Scope broader than needed. Structural issues that don't show up until the agent is actually running.
Every major AI lab validates their foundation model before release. Anthropic red-teams Claude. Google runs capability evaluations on Gemini. OpenAI has structured safety testing before every deployment. But when you build an agent on top of those models — the system prompt, the tool configuration, the memory architecture, the orchestration logic — there's no standardized way to validate it before you ship it to a client or deploy it in production.
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Existing frameworks either test the model layer (Garak, Anthropic
Evals) or provide production observability (LangSmith, Helicone).
OWASP LLM Top 10 names the risks. Google SAIF defines the principles.
None of them produce a pre-deployment validation report for the
agent you actually built.
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🎯 BlankVisuals© Validator closes that gap.
An open-source Cursor Agent Skill that validates any AI agent, skill chain, MCP orchestration, or agentic repo against a structured rule catalog — before deployment, not after.
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Every rule requires verified evidence — command output, file citation, or tool result. No guessing. Unverified items return
INCONCLUSIVE, not PASS.
✅Six validation domains:
→ Structure
→ Topology
→ Contracts
→ Security
→ Observability
→ Runtime
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No installation fees. No signup. One command and it runs inside your existing Cursor workflow.
Free Forever | MIT Licence
→ github.com/cengicadis/blankvisuals-validator
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