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AF email-validity-check

Verify email validity and format, cut email bounce‑rates and clean contact lists for exporters, recruiters and B2B sales teams. Trigger: email address validation, reduce email bounce rate, email‑list scrubbing, CRM data cleansing, cold outreach optimization

ClawHub Agent Skills author: upkuajing openapi skills v1.0.2 MIT-0 10 files body ≈ 1 505 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Verify email validity and format, cut email bounce‑rates and clean contact lists for exporters, recruiters and B2B sales teams.

As a process F 42/100 · Will not run — References files that are not bundled: scripts/*.py

AnalyzerSales and CRMData and analyticsWriting and documentstype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: scripts/*.py
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. 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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/*.py

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/*.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 42 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1505 tokens
  • 100Running it twice. Mutating operations check current state

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
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
The skill mainly does email validation, but it also handles API keys, paid account flows, and under-disclosed outbound update/reporting behavior that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 24 Aug 2026