agentsclimarketplace

Compute ladder

Skill open-gitagent/opengap/examples/jason-my-claw-is-the-law-deebee-4567b4/skills/compute-ladder

A framework-agnostic, git-native standard for defining AI agents

Install
npx -y skills add open-gitagent/opengap --skill compute-ladder

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

2.1 KB, as published. Nobody here has run it

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
  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]

Fallback Rules

DO fallback when:

  • HTTP 429 (rate limited)
  • Connection timeout (> 90s)
  • Stream death / incomplete response

DO NOT fallback when:

  • Task seems "complex" or "important"
  • You want "better" output quality
  • Previous attempt gave a poor answer

Use the primary model. Iterate. Fallback is for infrastructure failure, not preference.

Health Check

# Tier 0
curl -s localhost:11434/api/tags | python3 -c "import json,sys; d=json.load(sys.stdin); print('TIER-0 OK:', len(d['models']), 'models')"

# Tier 1
curl -s -o /dev/null -w "%{http_code}" \
  -H "Authorization: Bearer $CEREBRAS_API_KEY" \
  https://api.cerebras.ai/v1/models

# Tier 4
curl -s -o /dev/null -w "%{http_code}" \
  https://openrouter.ai/api/v1/models

Cost Guard

# Check today's OpenRouter spend
curl -s "https://openrouter.ai/api/v1/auth/key" \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  | python3 -c "
import json,sys
d=json.load(sys.stdin)['data']
print(f'today: \${d[\"usage_daily\"]:.2f} | week: \${d[\"usage_weekly\"]:.2f} | month: \${d[\"usage_monthly\"]:.2f}')
"

Daily > $5: flag to Ludo. Weekly > $50: flag immediately — tier-4 model is likely being over-used.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.