SKILLEMALL.ai

BD house-market-query

房产信息查询全维度助手。当用户需要找房源(二手房/租房/新房/买房/找房)、选笋盘、比价格、查成交、看小区、查学区、查学校时使用。基于贝壳找房/链家/安居客/房天下等主流房产平台实时数据,覆盖8大查询场景,生成交互式HTML可视化报告。触发词:找房, 买房, 二手房, 租房, 新房, 笋盘, 比价, 成交记录, 小区信息, 学区房, 学校划片, 房产查询, 房价查询, 楼盘查询, 看房, 查房源, 房产对比, 房源推荐, 地段分析。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 4 files body ≈ 1 383 tokens Open the sourceclawhub.ai analyzed 3 d ago

房产信息查询全维度助手。当用户需要找房源(二手房/租房/新房/买房/找房)、选笋盘、比价格、查成交、看小区、查学区、查学校时使用。基于贝壳找房/链家/安居客/房天下等主流房产平台实时数据,覆盖8大查询场景,生成交互式HTML可视化报告。触发词:找房, 买房, 二手房, 租房, 新房, 笋盘, 比价, 成交记录…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticsSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "location"

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) that frontmatter does not declare
  • 100Steps. 101 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1383 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 218: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 101 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a real-estate research helper that searches public housing sources and creates a local HTML report, with no hidden credential use or destructive behavior found.
LLM: benign (high) · VirusTotal: · 23 Jun 2026