SKILLEMALL.ai

BD anjuke-scraper

安居客(58 系)房源数据采集与对比分析:抓取租房列表与详情、提取经纪人电话、高德 poiInfo 获取小区坐标、haversine 计算距目标地点距离、生成排序过滤后的 Excel 对比表。适用:找房对比、房源数据分析、换城市/关键词复用采集管线。

ClawHub Agent Skills author: shiqixiangxiang-collab v1.0.0 MIT-0 11 files body ≈ 662 tokens Open the sourceclawhub.ai analyzed 3 d ago

安居客(58 系)房源数据采集与对比分析:抓取租房列表与详情、提取经纪人电话、高德 poiInfo 获取小区坐标、haversine 计算距目标地点距离、生成排序过滤后的 Excel 对比表。适用:找房对比、房源数据分析、换城市/关键词复用采集管线。

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
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: 11. 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")

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. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 662 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
  • -2localhost URLs: will not work for another user
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 125: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is a disclosed housing-scraper, but it asks to reuse a logged-in Chrome profile and saves contact data, which warrants Review before installation.
LLM: suspicious (high) · 16 Aug 2026