SKILLEMALL.ai

BD prospector

根据关键词自动搜索潜在客户公司,提取联系方式(邮箱),输出结构化客户列表。 适用场景: - 用户需要寻找潜在客户时 - 用户需要获取公司联系方式时 - 用户提到"找客户"、"获客"、"销售线索"、"潜在客户"等关键词 - 用户需要查询已收集的客户数据 功能: 1. 根据关键词和地区搜索潜在客户公司 2. 访问公司官网提取邮箱地址 3. 通过WHOIS查询域名注册邮箱 4. 验证邮箱格式有效性 5. 输出结构化的客户列表(JSON/CSV格式) 6. 自动缓存结果,避免重复搜索 7. 自动排重,跳过已存在的公司 8. 查询已收集的客户数据(简单查询) 注意:此Skill只负责"找客户"和"简单查询",不负责"发邮件"和"客户管理"。发送邮件请使用其他邮件相关Skill,复杂客户管理请使用专门的客户管理工具。

ClawHub Agent Skills author: xieyz1980 v1.0.1 MIT-0 13 files body ≈ 1 336 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructureData and analyticsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
49/100
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: 13. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (prospector) differs from the folder (bestprospector)
  • 100Tools and files. No external tools needed
  • 100Steps. 55 steps
  • 100Execution cost. Instruction body is 1336 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 360: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a disclosed lead-prospecting tool that searches public websites, extracts emails, caches them locally, and can export them, with privacy and data-quality cautions but no artifact-backed malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026