solver-benchmark-consensus-levels
Sub-skill of solver-benchmark: Consensus Levels.
Best use case
solver-benchmark-consensus-levels is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of solver-benchmark: Consensus Levels.
Teams using solver-benchmark-consensus-levels should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/consensus-levels/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How solver-benchmark-consensus-levels Compares
| Feature / Agent | solver-benchmark-consensus-levels | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of solver-benchmark: Consensus Levels.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Consensus Levels ## Consensus Levels The benchmark framework classifies solver agreement: | Level | Description | Criteria | |-------|-------------|----------| | **FULL** | All solvers agree | All pairs: correlation > 0.99, RMS < tolerance | | **MAJORITY** | 2 of 3 agree | 2+ pairs meet criteria | | **SPLIT** | Partial agreement | 1 pair meets criteria | | **NO_CONSENSUS** | No agreement | No pairs meet criteria |
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