CD npa-fapai-valuation-lite
法拍房速算估值：折价口径区分、真实折价率、折价可修复性打分、三情景 IRR/MOIC、投标上限反推，填一组假设出 5 表 xlsx。 触发词：法拍房、法拍、估值、评估价、折价率、几折、竞拍、出价、投标上限、多少钱、能买吗、风险、算账、回本、IRR。
法拍房速算估值：折价口径区分、真实折价率、折价可修复性打分、三情景 IRR/MOIC、投标上限反推，填一组假设出 5 表 xlsx。 触发词：法拍房、法拍、估值、评估价、折价率、几折、竞拍、出价、投标上限、多少钱、能买吗、风险、算账、回本、IRR。
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.
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: 5. 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 "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en"
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. 32 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 742 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
- +2Single-language instructions
- +3Description length 124: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 32 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a local foreclosure valuation workbook generator with disclosed finance risks and no evidence of hidden data access, persistence, or remote execution.
LLM: benign (high) · VirusTotal: · 25 Sept 2026