compute-ladder
Model selection by provider health, not task complexity. Tier 0 (local) handles most tasks. Paid models are break-glass only. Fallbacks activate on 429 or timeout — never on perceived task difficulty.
npx skills add open-gitagent/opengap --skill compute-ladder --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.
# Compute Ladder ## Tier Definitions ``` Tier 0 — Local (never dies, zero cost) ollama/qwen3-coder:latest primary, MoE, 128 TPS, 64k ctx ollama/gpt-oss:20b fallback, 32k ctx HARD LIMIT Tier 1 — Fast Free Cloud (up to 2100 TPS) cerebras/qwen-3-235b-a22b-instruct-2507 235B MoE, fast free cerebras/llama3.1-8b 8B, ultra-fast light tasks Tier 2 — Free Cloud (normal latency) openrouter/z-ai/glm-4.5-air
What does the compute-ladder skill do?
Model selection by provider health, not task complexity. Tier 0 (local) handles most tasks. Paid models are break-glass only. Fallbacks activate on 429 or timeout — never on perceived task difficulty.
How do I install it?
Run `npx skills add open-gitagent/opengap --skill compute-ladder --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 open-gitagent/opengap, a repository with 2,909 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.
