SKILLEMALL.ai

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

ClawHub Agent Skills author: qqyougitcom v1.4.3 MIT-0 6 files body ≈ 2 076 tokens Open the sourceclawhub.ai analyzed 2 d ago

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

IntegrationAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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-when description 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.

External checks

ClawHub: suspicious
This skill appears purpose-built as an AI API gateway, but it needs Review because it can route prompts and API keys to third-party providers with inconsistent provider scope and weak exposure controls.
LLM: suspicious (medium) · VirusTotal: · 17 Jun 2026