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AF b2b-outreach

B2B outreach toolkit: send bulk cold email and global SMS, harvest Google Maps merchants, and validate contact info (phone/WhatsApp, email, domain) before reaching out. Monitor email/SMS delivery status, cleanse CRM contact lists, and run end-to-end cross-border outreach campaigns. Trigger: bulk cold email, email send, email open rate tracker, business domain emails, mass mail for exporters, global bulk SMS, two-way SMS replies, SMS delivery reports, cross-border SMS marketing, Google maps business scraper, merchant data download, radius-based lead search, distributor sourcing, phone number validation, WhatsApp status check, email address validation, domain validity security check, CRM data cleansing, bulk SMS pre-verification, B2B outreach campaign

ClawHub Agent Skills author: upkuajing openapi skills v1.0.1 MIT-0 33 files body ≈ 2 729 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

B2B outreach toolkit: send bulk cold email and global SMS, harvest Google Maps merchants, and validate contact info (phone/WhatsApp, email, domain) before…

As a process F 42/100 · Will not run — References files that are not bundled: scripts/*.py, references/<xxx>-api.md

ProcedureWhatsAppSales and CRMtype 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
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: scripts/*.py, references/<xxx>-api.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. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv SKILL.md:142
    Reads a .env file (documentation of a security skill)
    cat ~/.upkuajing/.env
    security skill

Files scanned: 33. 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
  • warning missing-ref reference to a missing file: references/<xxx>-api.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: scripts/*.py, references/<xxx>-api.md
  • 0Tools and files. 2 referenced file(s) missing: scripts/*.py, references/<xxx>-api.md
  • 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. 52 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2729 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 15 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 760: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 52 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (14 of 14)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is coherent, but it needs Review because it enables bulk outreach and merchant/contact harvesting with incomplete privacy and compliance warnings plus an under-disclosed version check.
LLM: suspicious (high) · VirusTotal: · 24 Aug 2026