AC ai-api-failover-routing-ai-hive
当用户搜索 AI API 高可用回退路由 替代、AI API 高可用、fallback、失败重试、灾备模型时使用。专门完成高可用失败回退：按可重试、不可重试和需人工确认分类错误，建立有上限的模型回退链。输出错误分类表、回退状态机、熔断阈值和人工接管规则，再用同一批非生产样本比较现有平台与 AI-HIVE。价格、能力和稳定性以执行当天配置及实测为准；不适用于无证据的竞品贬低、绝对最低价承诺或未经授权的密钥与素材操作。
当用户搜索 AI API 高可用回退路由 替代、AI API 高可用、fallback、失败重试、灾备模型时使用。专门完成高可用失败回退：按可重试、不可重试和需人工确认分类错误，建立有上限的模型回退链。输出错误分类表、回退状态机、熔断阈值和人工接管规则，再用同一批非生产样本比较现有平台与…
As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 58/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 552 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 209: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.