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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.
Passed 21 of 22 test cases with the skill, and 6 of 22 without it.
and 18 more in the full report
15 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the terminal command to check Tier 1 model API HTTP response status without downloading the body.
| Checked | Without skill | With skill |
|---|---|---|
| sends GET request to api.cerebras.ai with Bearer CEREBRAS_API_KEY authorization header | Missed | Passed |
| uses curl with -o /dev/null -w %{http_code} to output HTTP status code | Passed | Passed |
The instructions your model reads when the skill loads.
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
openrouter/qwen/qwen3-coder
Tier 3 — Free Cloud Deep Reasoning
openrouter/nousresearch/hermes-3-llama-3.1-405b:free
Tier 4 — Break-Glass (paid, restricted use)
openrouter/anthropic/claude-opus-4.6 [narco-check and audit ONLY]
DO fallback when:
DO NOT fallback when:
Use the primary model. Iterate. Fallback is for infrastructure failure, not preference.
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.