BD china-api-gateway
想用国内免费/低价大模型,结果每家API格式都不一样?一个网关聚合MiMo/DeepSeek/Qwen/GLM等主流模型,OpenAI兼容接口直接替换,自动负载均衡+故障切换。省钱又省心,薅遍国内AI免费额度。 触发词: - 基础词:国内免费AI、免费API、薅羊毛AI、换模型、切换AI、负载均衡 - 平台词:MiMo API、DeepSeek API、Qwen API、GLM API、阿里百炼、智谱AI、火山引擎 - 配置词:怎么调用大模型、API怎么用、接口配置、API Key获取 - 网关词:OpenAI兼容、API网关、聚合AI、免费调用额度、模型切换 排除:海外模型直连、模型训练/Fine-tuning、私有化部署咨询
想用国内免费/低价大模型,结果每家API格式都不一样?一个网关聚合MiMo/DeepSeek/Qwen/GLM等主流模型,OpenAI兼容接口直接替换,自动负载均衡+故障切换。省钱又省心,薅遍国内AI免费额度。 触发词: - 基础词:国内免费AI、免费API、薅羊毛AI、换模型、切换AI、负载均衡 -…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 6. 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 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2076 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
- -259 emoji in the instructions: noise for the model
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 318: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.