AD house-skills-kit
房产AI技能仓库总览：按身份分技能（房开企业/经纪公司/渠道分销/购房者业主/二手经纪人/一手销售/房产自媒体）。已发布calc-toolkit公共计算工具包与案场销售线五技能（话术库/异议处理/算价逼定/接待挖掘/判客跟进）（19件收官：房贷月供/二手房全成本/一手房成本/购房能力/提前还款/首套二套认定/楼层折扣/公积金额度/佣金提成/得房率换算/租金回报/LPR变动影响/持有成本/买房vs理财/面积误差补退/违约金定金/房龄贷款年限/楼面价货值/日照楼间距，35城规则库四层引擎，每个数字可追溯）；template/为品牌顾问技能生成骨架（4类角色原型×29业务模块）。Use when 需要房产相关AI技能的安装、使用、生成或按身份选型。
房产AI技能仓库总览：按身份分技能（房开企业/经纪公司/渠道分销/购房者业主/二手经纪人/一手销售/房产自媒体）。已发布calc-toolkit公共计算工具包与案场销售线五技能（话术库/异议处理/算价逼定/接待挖掘/判客跟进）（19件收官：房贷月供/二手房全成本/一手房成本/购房能力/提前还款/首套二套认定/楼层折扣…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
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. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 580 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 325: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 5 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.