SKILLEMALL.ai
GitHub ↗ RU Sign in

AC engagelab-whatsapp-business

Call EngageLab WhatsApp Business REST APIs to send WhatsApp messages (template, text, image, video, audio, document, sticker), manage WABA message templates, and handle callback webhooks for delivery status and user responses. Use this skill whenever the user wants to send WhatsApp messages via EngageLab, create or manage WhatsApp templates, configure WhatsApp callbacks, or integrate with the EngageLab WhatsApp Business platform. Also trigger when the user mentions "engagelab whatsapp", "whatsapp business api", "whatsapp api", "send whatsapp message", "whatsapp template", "waba", "whatsapp notification", "whatsapp marketing", or asks to integrate WhatsApp messaging into their application. This skill covers authentication, all message types, template CRUD, and callback handling — use it even if the user only needs one of these capabilities.

ClawHub Agent Skills author: DevEngageLab v1.0.0 MIT-0 6 files body ≈ 2 486 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 64/100 · Has gaps — weak spots: inputs and preconditions, running it twice, progress reporting

TemplateWhatsAppInfrastructureMedia and videotype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 64/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 31 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2486 tokens

    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)
    • +3Description length 851: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 15 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    This is a coherent EngageLab WhatsApp helper, but it needs Review because it can send real business messages, change or delete templates, and recommends unauthenticated webhooks.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026