Borrowing it
Nothing to install: this file belongs to Enriquemarq1/zernio-library-skills. 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/Enriquemarq1/zernio-library-skills/main/.claude/skills/white-label-automations/SKILL.mdgit clone --depth 1 https://github.com/Enriquemarq1/zernio-library-skillsWrote 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/enriquemarq1/zernio-library-skills/white-label-automations)<a href="https://agentmods.dev/skills/enriquemarq1/zernio-library-skills/white-label-automations"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/white-label-automations/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/enriquemarq1/zernio-library-skills/white-label-automations"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/white-label-automations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00154 | $0.02056 |
| Opus 5.5 | $0.00062 | $0.00822 |
| Sonnet 5.5 | $0.00031 | $0.00411 |
| Haiku 4.5 | $0.00015 | $0.00206 |
Grade A, and why
white-label-automations 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
White-Label Automations: your own ManyChat, for every client
Comment a keyword, get a DM. That's where most DM tools stop. Zernio gives you the rest from the same API that already posts, reports and answers the inbox for your clients: story mentions, ref links, repeat rules, and rewards only followers can unlock. This skill puts all of it in one Automations tab inside your own app, under your brand.
YOUR APP → [1 COMMENT → DM] → [2 FOLLOWERS ONLY] → [3 STORY MENTION] → [4 LINK OR QR] → [5 REPEAT RULES] → [6 EVERY CLIENT]
keyword, button, one-tap “I'm thank-you DM ig.me link starts once per person, same tab, that
public reply following” check a flow, tags them logged when skipped client's own
The law: every automation lives in Zernio, and your app only ever shows a client its own. Zernio is the system of record (no copy in your database); your server checks that the automation's account belongs to the client's profile before it shows, edits or deletes anything.
| # | Check | What proves it |
|---|---|---|
| 1 | Comment → DM | Comment the keyword from another account: the DM with the button arrives, the public reply appears, the log row says "DM sent" |
| 2 | Followers only | A commenter Instagram doesn't know gets the "I'm following" button; after the tap the reward arrives on its own |
| 3 | Story mention | Mention the account in a story: the thank-you DM arrives |
| 4 | Link or QR | Open ig.me/m/<username>?ref=<name> (or scan its QR): the flow starts, the run shows, the contact is tagged |
| 5 | Repeat rules | Comment the keyword again: the log shows "Skipped" with the reason |
| 6 | Every client | Switch workspace: same tab, only that client's automations |
Fastest: clone the finished app. apps/white-label-app/ already has the Automations tab, its JSON API and the MCP server built in (npm run demo:automations to see it without an account). Starting from the blueprint app? Paste reference/stage-prompts.md into Claude Code inside that app, one stage at a time. Starting from your own app? Stage 0 reads your code first and keeps your framework, design and data model.
What ships with it
1 file 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.
- 2d ago First seen · 67 lines · 154 tokens per session scan A 35cf7070b5ef
white-label-automations is a skill published in the GitHub repository Enriquemarq1/zernio-library-skills (49 stars, last pushed 3d ago), licensed MIT. It adds 154 tokens to every session and 2,056 once invoked, about $0.0006 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 2026-10-26.
Other skills, from other repositories
wechatsync
A publishing tool for sending Markdown or HTML articles to many writing and social platforms, including Chinese services, WordPress, Typecho, and WeChat. Cross-posting means publishing the same article in several places.
kotlin-expert
Expert-level Kotlin development, Android, coroutines, and multiplatform. Use when the user mentions Android, coroutines, multiplatform, or JVM, or when the task involves Kotlin Fundamentals, Android Development, Kotlin Multiplatform, or Kotlin Style.
content-matrix
Generate 32+ LinkedIn post ideas in a single table by pairing the user's content pillars with 8 proven content formats. Based on the Justin Welsh content matrix. Use this skill whenever the user says "give me post ideas", "content matrix", "what should I post about", "generate post ideas", "content ideation", or "map…
instagram-api
An Instagram API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no login and no session cookies. Use when the user wants to resolve an Instagram profile by @handle, search users by keyword, pull a profile's posts, reels, stories, tagged posts, followers, or followings…
kotlin-docs
Comprehensive Kotlin 2.4.0 reference covering all language features: variables, basic types, strings, control flow, functions, lambdas, classes, objects, inheritance, interfaces, data classes, sealed classes, generics, collections, sequences, null safety, coroutines (suspend, launch, async, Flow, StateFlow, channels)…
socialblast-pipeline
Plan and create a week of social media content for any business using SocialBlast AI's MCP tools. Use this skill when the user says "create a campaign", "generate a week of content", "make me posts for my business", "plan content for", or asks Claude to enrich pending posts with AI media. Drives the SocialBlast MCP…