AD token-freedom
AI API 平台推荐与 Token 自由助手。帮助用户找到最便宜/免费/最适合的 AI API 平台，注册获取免费额度，配置到 QClaw 等客户端使用。支持比价、推荐、注册引导。当用户说"API太贵了"、"token用完了"、"哪里可以免费调用AI"、"帮我注册API"、"换个便宜的模型"、"接入自己的Key"、"API比价"、"哪个平台送得多"时触发。覆盖硅基流动/火山引擎/DeepSeek/智谱/OpenRouter/Groq/Sophnet/阿里云百炼/小米MiMo/腾讯混元/Anthropic/OpenAI/Google Gemini/MiniMax/Moonshot 等 16+ 平台。
AI API 平台推荐与 Token 自由助手。帮助用户找到最便宜/免费/最适合的 AI API 平台，注册获取免费额度，配置到 QClaw…
As a process D 46/100 · Unfinished process — 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-password-literalreferences/setup-guide.md:180Hard-coded password / key literal (may be an example)api_key="sk-o…xxx",
Files scanned: 7. 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 (python) that frontmatter does not declare
- 100Steps. 39 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 812 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 303: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.