SKILLEMALL.ai

BF ai-sales-lead-radar

AI销售线索雷达。当政企销售/BD/渠道人员想找销售线索、开发客户时,必须使用此SKILL:销售线索挖掘、潜在客户发现、拟建项目(提前6-18个月布局)、采购意向(发标前1-3个月对接)、临期续约(替换现供应商)、线索按金额与紧急度排序、每日商机晨报订阅。给一个行业/产品/地区即输出按价值排序的线索清单。即使用户没有提到「线索」,只要涉及找客户、开发市场、挖商机、谁会买我们产品等需求,都应使用本SKILL。

ClawHub Agent Skills author: zhiliaobiaoxun v1.0.6 MIT-0 7 files body ≈ 1 748 tokens Open the sourceclawhub.ai analyzed 2 d ago

AI销售线索雷达。当政企销售/BD/渠道人员想找销售线索、开发客户时,必须使用此SKILL:销售线索挖掘、潜在客户发现、拟建项目(提前6-18个月布局)、采购意向(发标前1-3个月对接)、临期续约(替换现供应商)、线索按金额与紧急度排序、每日商机晨报订阅。给一个行业/产品/地区即输出按价值排序的线索清单。即使用户没有…

As a process F 35/100 · Will not run — References files that are not bundled: references/auto-register.md, references/workflow.md, references/api-quick.md

IntegrationData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/auto-register.md, references/workflow.md, references/api-quick.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 0. 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")
  • warning missing-ref reference to a missing file: references/auto-register.md
  • warning missing-ref reference to a missing file: references/workflow.md
  • warning missing-ref reference to a missing file: references/api-quick.md
  • warning missing-ref reference to a missing file: references/report-template.md
  • warning missing-ref reference to a missing file: scripts/render_report.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/auto-register.md, references/workflow.md, references/api-quick.md
  • 0Tools and files. 5 referenced file(s) missing: references/auto-register.md, references/workflow.md, references/api-quick.md
  • 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
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1748 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 205: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
The skill appears to provide real sales-lead search functionality, but it also handles device fingerprinting, credential storage, raw login-style links, and shareable reports in ways users should review before installing.
LLM: suspicious (high) · 8 Sept 2026