"Understanding Code Execution" matching MCP connectors:

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.

Pre-commit code quality guardian. Detects semantic drift in AI-generated code.

MCP server for static security analysis of Android source code

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

295k+ bug-fix patterns with MCP Hub proxy, PII filtering, and code search

## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple

Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.

Generates unit tests for Python code with coverage before/after reports and concrete edge cases.

Your coding agent writes the feature — let it test it too. Long Horizon runs real browser tests and produces shareable execution reports for confident feature delivery.

Zenable cleans up sloppy AI code and prevents vulnerabilities with deterministic guardrails