Cross-reference thread 'say' occurrences with DuckDB sources using XOR-based uniqueness.
npx skills add https://github.com/plurigrid/asi --skill say-ducklake-xor
Please help me install this Agent Skill. Skill: say-ducklake-xor Source: https://github.com/plurigrid/asi/tree/main/skills/say-ducklake-xor Command: npx skills add https://github.com/plurigrid/asi --skill say-ducklake-xor
This Skill automates discovering uses of "say" or MCP tooling across threads and cross-references with DuckDB sources. It provides deterministic XOR-based uniqueness guarantees to avoid collisions during bounded parallel exploration.
Just run the discovery with a seed and bound: python scripts/say_ducklake_xor.py --seed 1069 --bound 27
High-intent search queries and answers about installing and using this skill.
This Skill scans threads for 'say' or 'say mcp' calls, cross-references them with DuckDB sources, and enforces XOR-based uniqueness to eliminate collisions. Run with a seed and concurrency bound to get deterministic, deduplicated discovery results ready for storage.
XOR uniqueness prevents duplicate discoveries across bounded-parallel workloads. Combined with seed-based derivation, it ensures the same input seed produces identical results across runs, with GF(3) conservation validation confirming data integrity throughout the discovery chain.
Yes. The Skill handles bounded-parallel exploration of large datasets by applying seed-based derivation and concurrency limits. Specify your bound parameter to control scan scope; results integrate into standard schemas for analysis and storage without collision risk.
The Skill automatically correlates 'say' occurrences in threads with DuckDB source timestamps and concepts. Cross-reference logging captures all matches, and integration-ready schemas output coherent discovery chains that preserve relationships between thread and database entries.
Without XOR enforcement, parallel scans risk duplicate discoveries when exploring the same conceptual space. XOR-based uniqueness guarantees one canonical result per discovery, reducing noise and storage overhead while maintaining determinism across runs with identical seed values.
Prepare your DuckDB source with thread data indexed by timestamp and concept. Provide a seed value and concurrency bound to invoke the discovery script. No external dependencies are required; the Skill handles schema validation and GF(3) conservation checks automatically.
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