Agent Skills › open-gitagent/opengap › compute-ladder

compute-ladder

GitHub

定义AI模型调用层级与故障转移策略。基于基础设施健康（如429错误、超时）而非任务复杂度触发回退，优先使用本地免费模型，限制付费模型仅用于审计等特定场景，并包含成本监控机制。

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

Trigger Scenarios

需要选择或切换AI模型时模型服务出现连接超时或速率限制时检查AI服务健康状态或API费用时

Install

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

More Options

Non-standard path

npx skills add https://github.com/open-gitagent/opengap/tree/main/examples/jason-my-claw-is-the-law-deebee-4567b4/skills/compute-ladder -g -y

Use without installing

npx skills use open-gitagent/opengap@compute-ladder

指定 Agent (Claude Code)

npx skills add open-gitagent/opengap --skill compute-ladder -a claude-code -g -y

安装 repo 全部 skill

npx skills add open-gitagent/opengap --all -g -y

预览 repo 内 skill

npx skills add open-gitagent/opengap --list

SKILL.md

Frontmatter

{
    "name": "compute-ladder",
    "version": "1.0.0",
    "description": "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."
}

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.