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/zernio-workflow-creator/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/zernio-workflow-creator)<a href="https://agentmods.dev/skills/enriquemarq1/zernio-library-skills/zernio-workflow-creator"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/zernio-workflow-creator/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/zernio-workflow-creator"><img src="https://agentmods.dev/badge/skills/enriquemarq1/zernio-library-skills/zernio-workflow-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 104 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00199 | $0.02739 |
| Opus 5 | $0.00100 | $0.01370 |
| Sonnet 5 | $0.00040 | $0.00548 |
| Haiku 4.5 | $0.00020 | $0.00274 |
Grade A, and why
zernio-workflow-creator scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> the Zernio Workflow API contract + the recipes. Claude executes with `curl` (or the user's HTTP tool). How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
zernio-workflow-creator
Build a Zernio Workflow — a branching conversation automation that can run a 24/7 AI agent on WhatsApp, Instagram, Facebook, Telegram, and more — just by asking Claude. Claude writes the node graph, creates it through the Zernio API, activates it, and edits it later on command. No node-by-node dragging, no cloning workflows.
The skill informs; the agent acts. This file +
reference/zernio-workflows-api.mdgive Claude the Zernio Workflow API contract + the recipes. Claude executes withcurl(or the user's HTTP tool). You stay in control — Claude shows you the graph and confirms before creating or activating anything (it goes live on a real audience).
What you can ask
- "Build a WhatsApp AI agent that answers questions and books a call."
- "Make a workflow: when someone DMs PRICING, an AI agent walks them through the plans."
- "Add an email-capture step before the booking question." → Claude edits the graph.
- "Pause / activate / duplicate / roll back the booking workflow."
What Claude needs (ask once, then remember in-session)
- ZERNIO_API_KEY —
Authorization: Bearer <key>(zernio.com → Settings → API keys). - profileId + accountId — the Zernio profile + connected account (
GET /v1/profiles,GET /v1/accounts). - platform —
whatsapp(default),instagram,facebook,telegram,twitter,bluesky,reddit. - The behavior in plain words — what the agent should do, the system prompt's job, the booking link / next step.
WhatsApp prerequisites (one-time)
- A WhatsApp number bought inside Zernio —
POST /v1/whatsapp/phone-numbers/purchase(needs a paid plan + KYC, which can take days — start early). Test first on the sandbox:POST /v1/whatsapp/sandbox/sessions. - For the AI node on Claude (BYOK): store your Anthropic API key in Zernio. Set
provider: anthropic+modelon the node to use it; omitproviderfor Zernio's built-in path.
The recipe (Claude follows this)
What ships with it
2 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.
- 12d ago First seen · 150 lines · 199 tokens per session scan A 42fa4fca5655
zernio-workflow-creator is a skill published in the GitHub repository Enriquemarq1/zernio-library-skills (39 stars, last pushed 24d ago), licensed MIT. It adds 199 tokens to every session and 2,739 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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