BD jewelry-appraiser
AI珠宝鉴定与选购全领域助手。覆盖钻石4C/彩宝(红蓝宝/祖母绿/帕拉伊巴/尖晶)/翡翠ABC货/珍珠/彩钻/贵金属/鉴定证书解读/投资收藏/婚戒定制9大模块。用户输入自然语言问题或上传珠宝图片/证书，自动进行专业鉴定分析、价格评估、真伪辨别、投资建议，生成交互式HTML可视化报告。触发词: 珠宝鉴定, 钻石, 4C, 彩宝, 红宝石, 蓝宝石, 祖母绿, 翡翠, 珍珠, 证书, GIA, 婚戒, 投资收藏, 贵金属, 金价, jewelry appraisal
AI珠宝鉴定与选购全领域助手。覆盖钻石4C/彩宝(红蓝宝/祖母绿/帕拉伊巴/尖晶)/翡翠ABC货/珍珠/彩钻/贵金属/鉴定证书解读/投资收藏/婚戒定制9大模块。用户输入自然语言问题或上传珠宝图片/证书，自动进行专业鉴定分析、价格评估、真伪辨别、投资建议，生成交互式HTML可视化报告。触发词: 珠宝鉴定, 钻石…
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 · 0
✓ No critical or high findings
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: AI珠宝鉴定与选购全领域助手。覆盖钻石4C/彩宝(红蓝宝/祖母绿/帕拉伊巴/尖晶)/翡翠ABC货/珍珠/彩钻/贵金属/鉴定证书解读/… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
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. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 744 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
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (8 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.