Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Migrated to public GitHub repo, updated homepage URLs
What This Skill Does
Compares two text sources to find shared principles — ideas that appear in both, even when expressed differently. Uses an N-count system where N=2 means two independent sources agree on the same idea. Shows what's shared, what's unique to each source, and flags divergence types.
Independent sources converging on the same principle is stronger evidence than a single source, and this skill surfaces that convergence automatically instead of requiring manual side-by-side review.
When to use it
- Finding where two research papers reach the same conclusion
- Checking if two coding philosophy guides share the same principles
- Validating a personal framework against a published methodology
- Comparing notes from two different mentors for overlapping advice
- Cross-checking two extracted knowledge bases for redundancy
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Do these two extracted principle sets agree on anything?'
- 1Receives two sources (raw text, extractions, or mixed)
- 2Identifies the core principles in each source
- 3Searches for semantic matches, not just keyword overlap
- 4Categorizes results into shared, unique-to-A, and unique-to-B
- 5Assigns N-count and confidence level to each shared pattern
A structured breakdown listing N=2 validated shared patterns, unique principles per source, divergence analysis, and suggested next steps such as adding a third source to reach N≥3