toflow-create-sequence

toflow-create-sequence is a skill for Claude Code, Codex from toflow-ai/toflow-mcp. It costs 65 tokens per session (1,407 once invoked), scanned A, original, MIT.

An outreach-sequence builder creates and launches scheduled messages across email, LinkedIn, and WhatsApp, then enrolls people in them. An outreach sequence is a planned series of contact steps sent over time.

In plain words
What is it for?
Use it to create a sequence or campaign, configure its timing and messages, personalize content, get it approved, and enroll an individual or list.
Why use it?
It organizes multi-channel follow-up and checks the current rules for message steps, scheduling, accounts, and personalization before making changes. Approval happens before people are enrolled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create a sequence or campaign, configure its timing and messages, personalize content, get it approved, and enroll an individual or list.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/toflow-ai/toflow-mcp/toflow-create-sequence
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add toflow-ai/toflow-mcp --skill toflow-create-sequence
Clone the repo
git clone --depth 1 https://github.com/toflow-ai/toflow-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for toflow-create-sequence

README.md
[![agentmods](https://agentmods.dev/badge/skills/toflow-ai/toflow-mcp/toflow-create-sequence/github.svg)](https://agentmods.dev/skills/toflow-ai/toflow-mcp/toflow-create-sequence)
Your own site
<a href="https://agentmods.dev/skills/toflow-ai/toflow-mcp/toflow-create-sequence"><img src="https://agentmods.dev/badge/skills/toflow-ai/toflow-mcp/toflow-create-sequence/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.

agentmods 80×15 button for toflow-create-sequence

Your own site · 80×15
<a href="https://agentmods.dev/skills/toflow-ai/toflow-mcp/toflow-create-sequence"><img src="https://agentmods.dev/badge/skills/toflow-ai/toflow-mcp/toflow-create-sequence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,407 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.01407
Opus 5.5 $0.00026 $0.00563
Sonnet 5.5 $0.00013 $0.00281
Haiku 4.5 $0.00006 $0.00141

Measured 4d ago against content hash c95eb16ac036, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

toflow-create-sequence 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 4d 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.

skills/toflow-create-sequence/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

toflow — Create and Enroll a Sequence

This skill orchestrates toflow's sequence tools into one workflow: build the sequence, get it approved, then enroll people with correctly personalized (or AI-generated) content. The guide tools below are the live source of truth for schema, required fields, and node/edge structure — always call them before the matching mutating call, even if this skill summarizes the shape. This skill's own guidance covers what the guides don't own: message content quality and writing style, and the order to call things in.

Part 1 — Building the sequence

  1. Call get_sequence_creation_guide (and get_sequence_schema for the full field/node-type reference) before calling create_sequence. These cover sequence-level scheduling config (timezone, send window, weekends, holidays), sending accounts, node types, field requirements, edge shape, and template variables. Node types include email, send_linkedin_connection, is_in_linkedin_network, linkedin_message, linkedin_inmail, whatsapp_message, and view_linkedin_profile — confirm the current full list via get_sequence_schema since it may expand. send_linkedin_connection and is_in_linkedin_network are the only branching node types (true/false edges, never a merge point); is_in_linkedin_network's true branch can't contain another conditional, and its false branch allows at most one send_linkedin_connection.
  2. Before drafting account IDs into any node: call list_connected_accounts and get_account_load_stats, present accounts by label with their load stats, and let the user choose. Email nodes take a from_account_ids list (even for one account — never the singular from_account_id); LinkedIn/WhatsApp nodes take a single from_account_id. For every selected email account, confirm it has a signature configured before drafting any content — if not, stop and have the user set one via set_email_signature or in Settings first.
  3. Call list_sequences and list_sequence_templates first — check whether an existing sequence or template already covers this campaign before building from scratch.
  4. Never skip straight to create_sequence. Show the full plan (steps, channels, timing) and wait for explicit confirmation before creating it — treat a request like "make me a sequence for X" as the start of planning, not permission to create immediately.
  5. See references/writing-and-scheduling-rules.md for message-writing quality (subject/body rules, tone, avoiding AI writing tells) and suggested step-to-step timing gaps — these are proposable defaults to confirm with the user, not enforced by the schema, so don't apply them silently.
  6. If thread_emails is enabled, only the first email node gets an original subject — every later email node's subject must be Re: <first email's subject> since they land as replies in one thread.

Read the full file on GitHub · 36 lines

Files

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.

Changes

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.

  1. 4d ago First seen · 36 lines · 65 tokens per session scan A c95eb16ac036

Subscribe to this mod's changes

toflow-create-sequence is a skill published in the GitHub repository toflow-ai/toflow-mcp (6 stars, last pushed 5d ago), licensed MIT. It adds 65 tokens to every session and 1,407 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 2026-10-10.

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