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AF lead-gen

Lead generation, prospecting, and qualification for B2B sales. Use when asked to find leads, build prospect lists, research target companies, qualify leads against an ICP, enrich contact data, find decision-maker email formats, scrape company info, score leads, or build a sales pipeline from scratch. Triggers on phrases like "find leads", "build a prospect list", "who should I target", "lead generation", "find decision makers", "ICP research", "sales prospecting", "qualify leads", "enrich contacts", "find emails", "pipeline building".

ClawHub Agent Skills author: v3ads v1.0.0 MIT-0 5 files body ≈ 593 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 45/100 · Will not run — References files that are not bundled: references/email-formats.md

GeneratorSales and CRMInfrastructuretype 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: references/email-formats.md
Tools and files w 18
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. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/email-formats.md

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: references/email-formats.md
  • 0Tools and files. 1 referenced file(s) missing: references/email-formats.md
  • 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
  • 40Consistency. Frontmatter name (lead-gen) differs from the folder (lead-gen-x)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 593 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 11 example trigger phrases
  • +3Description length 540: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: suspicious
This is a coherent B2B lead-generation skill, but it needs Review because it guides contact enrichment and email guessing without enough privacy, consent, or anti-spam boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026