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BD find-customers

找客户 / Find Customers / 销售线索 / 评论区获客 Skill。用于找客户、获客、销售线索、潜在客户、客户名单、AI获客、社媒获客、评论分析、评论获客、评论区获客、小红书获客、抖音获客、快手获客，从抖音、小红书、快手公开评论中识别购买意向、AI sales leads、高意向客户和可跟进客户名单。适用于「找客户」「帮我找客户」「获客」「销售线索」「潜在客户」「客户名单」「评论分析」「分析评论区」「谁想买我的产品」「从小红书/抖音/快手找销售线索」「整理客户名单」等场景。连接器启用后可直接试跑；看不到工具时先按接线步骤启用。

ClawHub Agent Skills author: 简诗 v1.0.22 MIT-0 12 files body ≈ 2 768 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

找客户 / Find Customers / 销售线索 / 评论区获客 Skill。用于找客户、获客、销售线索、潜在客户、客户名单、AI获客、社媒获客、评论分析、评论获客、评论区获客、小红书获客、抖音获客、快手获客，从抖音、小红书、快手公开评论中识别购买意向、AI sales…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSales and CRMMedia and videoAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
41/100
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: 12. 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 "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 41/100

  • 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 (find-customers) differs from the folder (opc-comment-lead-radar)
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 84 steps
  • 100Execution cost. Instruction body is 2768 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 274: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 84 items
  • +4Has examples (3 code blocks)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed social-media lead-finding workflow that uses public comments and optional user-authorized platform/login flows, with privacy and invocation-scope caveats users should understand.
LLM: benign (medium) · VirusTotal: · 18 Jul 2026