cdc-tool-profiles

Normalize CDC and connectivity tool outputs into JSON gate reports.

43|9|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/babyworm/rtl-agent-team --skill cdc-tool-profiles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cdc-tool-profiles
Source: https://github.com/babyworm/rtl-agent-team/tree/main/skills/cdc-tool-profiles
Command: npx skills add https://github.com/babyworm/rtl-agent-team --skill cdc-tool-profiles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a consistent, auditable way to aggregate and normalize clock domain crossing (CDC) and connectivity tool outputs so that automated gate decisions and LLM assessments can be made with quantitative support and traceable rationale.

Core Features & Use Cases

  • Quantitative + Qualitative Gate Philosophy: Combines svlens numeric reports with LLM-driven contextual judgments so gates require both metrics and documented rationale.
  • svlens Modes: Covers svlens cdc, conn, and metrics modes for structural CDC checks, port connectivity, and RTL transformation complexity.
  • Commercial Tool Wrappers: Defines invocation conventions for spyglass, vc_cdc, and questa_cdc and normalizes outputs into a common JSON schema.
  • Normalized Results: Produces consistent fields such as tool, violations_count, cautions_count, info_count, report_path, and replay_path for CI/regression checks.

Quick Start

Run the CDC tool profiles to generate normalized svlens or commercial CDC JSON reports and a classification summary for the specified top-level design.

Frequently Asked Questions about cdc-tool-profiles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I normalize CDC analysis reports from Spyglass and svlens for CI pass/fail gates?

The Skill standardizes CDC analysis by combining svlens numeric reports with LLM-driven contextual judgments, requiring both quantitative metrics and documented rationale to pass review gates.

How do I aggregate svlens connectivity and metrics outputs for pre-signoff screening?

To standardize CDC and connectivity outputs for automated gates, run the CDC tool profiles to generate normalized svlens or commercial CDC JSON reports and a classification summary for the specified top-level design.

Can I use this to wrap commercial CDC tools like vc_cdc and questa_cdc into a unified format?

Yes, commercial tool wrappers define invocation conventions for spyglass, vc_cdc, and questa_cdc, normalizing their outputs into a common JSON schema with fields like violations_count, cautions_count, and replay_path.

What is the best way to set up quantitative CDC violation gates in an automated regression flow?

Standardized CDC analysis provides consistent, auditable JSON fields including violations_count, cautions_count, info_count, report_path, and replay_path, enabling automated gate decisions with quantitative support and traceable rationale.

Does this approach support svlens structural clock-domain-crossing checks for top-level RTL?

The Skill applies to top-level RTL clock-domain-crossing, port connectivity, and transformation-complexity assessments during CI, pre-signoff screening, and review gates, producing JSON-normalized fields including tool, violations_count, and report_path.