benchmark-models
SolidCross-model benchmark for vibestack skills. Runs the same prompt through Claude, GPT (via Codex CLI), and Gemini side-by-side — compares latency, tokens, cost, and optionally quality via LLM judge. Answers "which model is actually best for this skill?" with data instead of vibes.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- timurgaleev
- Repository
- timurgaleev/vibestack
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- TypeScript
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
benchmark-models
Cross-model benchmark. Runs one prompt or skill through Claude, GPT (Codex CLI), and Gemini side by side and compares latency, tokens, cost, tool calls, and optionally output quality via an Anthropic-API judge. Answers "which model is actually best for this skill?" with data. Use when you say "benchmark models", "compare models", "which model is best for X", "cross-model comparison", or "model shootout". Do NOT use to measure web page performance.
benchmark
Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time.
benchmark-opencode-models
Deep-benchmark which OpenCode models are actually viable for opencode-bridge — ping each candidate model, then run 5 canned superpowers-style task prompts per model (feature vs bugfix, short vs detailed, plus a dedicated TDD red-to-green prompt), independently verify every result by executing the generated code (never trust OpenCode's self-reported "done"), and score each run on time/quality/completeness/autonomy/discipline/red-green-accuracy/test-call-discipline. For a fast pass/fail availability check with no scoring, use check-opencode-models instead.