spi-parallel-verify
Verify Strong Parallelism Invariance (SPI) and GF(3) conservation for 3-way color streams with arbitrary precision.
Profile →npx skills add majiayu000/claude-skill-registry --skill spi-parallel-verify --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SPI Parallel Verify Use when validating that parallel, shuffled, or split execution yields identical results. ## Inputs - seed, indices, precision - sources (optional): splitmix_ternary, xoroshiro_3color, gay_mcp ## Workflow 1. Compute ordered, reversed, shuffled results. 2. Compute parallel split if available. 3. Compare at fixed precision or via hex. 4. Validate GF(3) per triplet. 5. Emit a deterministic report. ## Commands (music-topos) - `just spi-verify` - `just spi-gf3-parallel` - `ruby -I lib -r splitmix_ternary -e "require 'json'; puts JSON.pretty_generate(SplitMixTernary.prove_out_of_order)"` ## Acceptance - ordered == reversed == shuffled - parallel == sequential - gf3_ok == true - avoid float truncation of RNG state ## Report fields - seed, indices, all_equal, parallel_ok, gf3_ok, precision ## Example prompt "Verify SPI and GF(3) for 3-stream triads at seed 0x42D and report determinism."
- Inputs
- Workflow
- Commands (music-topos)
- Acceptance
- Report fields
- Example prompt
What does the spi-parallel-verify skill do?
Verify Strong Parallelism Invariance (SPI) and GF(3) conservation for 3-way color streams with arbitrary precision.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill spi-parallel-verify --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.