Borrowing it
Nothing to install: this file belongs to kevinrivm/vocero-crm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kevinrivm/vocero-crm/main/.claude/skills/whatsapp-meta-app-review/SKILL.mdgit clone --depth 1 https://github.com/kevinrivm/vocero-crmWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kevinrivm/vocero-crm/whatsapp-meta-app-review)<a href="https://agentmods.dev/skills/kevinrivm/vocero-crm/whatsapp-meta-app-review"><img src="https://agentmods.dev/badge/skills/kevinrivm/vocero-crm/whatsapp-meta-app-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kevinrivm/vocero-crm/whatsapp-meta-app-review"><img src="https://agentmods.dev/badge/skills/kevinrivm/vocero-crm/whatsapp-meta-app-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.00440 |
| Opus 5.5 | $0.00030 | $0.00176 |
| Sonnet 5.5 | $0.00015 | $0.00088 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
whatsapp-meta-app-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
WhatsApp Meta App Review
Use this skill to convert a WhatsApp SaaS into an approval-ready Meta App Review submission.
Workflow
- Identify the exact permissions in scope and the user's current review status.
- Check whether the product already proves three things inside the app:
- onboarding through Meta Embedded Signup,
- reading real WhatsApp assets,
- sending a real approved template.
- Read the reference file that matches the task:
references/approved-flow.mdfor the approved screencast structure and narrationreferences/submission-copy.mdfor permission notes and reviewer-facing languagereferences/rejection-patterns.mdfor common rejection causes and concrete fixes
- Produce the smallest useful artifact:
- revised permission notes,
- video script,
- review checklist,
- review-only page requirements,
- or rejection remediation plan.
Guardrails
- Do not recommend requesting permissions before the core path is real.
- Require the app to show actual in-product evidence, not only Postman, n8n, or logs.
- Keep the video linear and short.
- Make the written notes match the screencast exactly.
- Prefer English UI, narration, and reviewer notes unless the user explicitly wants another language.
Minimum proof standard
Treat these as non-negotiable for approval work:
- the business connects its own account,
- the app reads the connected phone number and templates,
- the app sends an approved template,
- the recipient device shows the delivered message.
Output style
- Be specific and reviewer-friendly.
- Phrase notes as product behavior, not vague API claims.
- When asked to fix a rejection, map each reviewer complaint to the missing proof in the product or the video.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 50 lines · 74 tokens per session scan A db7ba216b6f1
whatsapp-meta-app-review is a skill published in the GitHub repository kevinrivm/vocero-crm (419 stars, last pushed 4d ago), licensed MIT. It adds 74 tokens to every session and 440 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
whatsapp-meta-app-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| whatsapp-meta-app-reviewkevinrivm/vocero-crm | Skill | 419 | 4d ago | MIT | A | 74 | Claude Code |
| jsonapiprowler-cloud/prowler | Skill | 15k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
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| api-compliance-checkerLambdaTest/agent-skills | Skill | 390 | yesterday | MIT | A | 167 | Claude Code, Codex |
| adding-activity-loggingPostHog/posthog | Skill | 41k | yesterday | none | A | 153 | Claude Code, Codex |
| telnyx-10dlc-curlteam-telnyx/ai | Skill | 224 | yesterday | MIT | A | 31 | Claude Code |
| 806-regulations-eu-data-actjabrena/plinth | Skill | 460 | yesterday | Apache-2.0 | A | 139 | Claude Code, Codex |