AC antique-appraisal
古董鉴定估价全流程助手。覆盖藏品信息采集→初步评估报价→支付订单生成→鉴定报告输出4大阶段。支持微信小程序和非微信终端双环境，智能识别用户设备环境自适应输出格式。触发词：鉴定、估价、藏品、古玩、帮我看看、值多少钱、古董、文玩、鉴宝、拍卖估价、宝贝鉴定。
古董鉴定估价全流程助手。覆盖藏品信息采集→初步评估报价→支付订单生成→鉴定报告输出4大阶段。支持微信小程序和非微信终端双环境，智能识别用户设备环境自适应输出格式。触发词：鉴定、估价、藏品、古玩、帮我看看、值多少钱、古董、文玩、鉴宝、拍卖估价、宝贝鉴定。
As a process C 53/100 · Has gaps — 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.
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: 1. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 77 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 947 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 126: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
This skill is a coherent antique appraisal helper with expected photo, provenance, report, and payment-style workflow, but users should be mindful of privacy and payment clarity.
LLM: benign (high) · VirusTotal: · 22 Jun 2026