BF zhuanzhuan
转转二手助手。用户想买个二手、想把闲置卖掉换钱、想知道旧物值多少钱或什么时候卖更划算、想知道这东西二手现在什么价、想找同款好价时使用。覆盖 iPhone/华为/小米等手机、笔记本平板等数码、LV/Gucci 与劳力士等奢品包表、球鞋盲盒等兴趣好物，以及特斯拉/比亚迪等二手车。价格、成交行情、回收估价、订单物流等具体数据需 MCP 接入后提供。
转转二手助手。用户想买个二手、想把闲置卖掉换钱、想知道旧物值多少钱或什么时候卖更划算、想知道这东西二手现在什么价、想找同款好价时使用。覆盖 iPhone/华为/小米等手机、笔记本平板等数码、LV/Gucci…
As a process F 35/100 · Will not run — References files that are not bundled: {infoImage}, {jumpUrl}
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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") - warning
missing-refreference to a missing file: {infoImage} - warning
missing-refreference to a missing file: {jumpUrl} - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_zh" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "visibility"
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: {infoImage}, {jumpUrl}
- 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
- 100Steps. 72 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1840 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 172: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 72 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.