sequence-load

sequence-load is a skill for Claude Code from sun2443/designer-skills. It costs 33 tokens per session (1,024 once invoked), scanned A, a copy of sequence-load, Apache-2.0.

A workflow for finding people who match sales criteria and adding them to an outreach sequence, which is a planned series of sales messages.

In plain words
What is it for?
Use it to populate a named outreach sequence with contacts filtered by role, industry, company size, or location.
Why use it?
It combines contact searching, detail lookup, duplicate checking, and sequence enrollment in one process. This avoids preparing and adding each contact separately.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the apollo plugin — 3 skills shipped together

Good fit Use it to populate a named outreach sequence with contacts filtered by role, industry, company size, or location.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sun2443/designer-skills/sequence-load
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 sun2443/designer-skills --skill sequence-load
Clone the repo
git clone --depth 1 https://github.com/sun2443/designer-skills

Made for: Claude Code.

Or install apollo, the plugin that ships this one along with the rest of its 3 skills.

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 sequence-load

README.md
[![agentmods](https://agentmods.dev/badge/skills/sun2443/designer-skills/sequence-load/github.svg)](https://agentmods.dev/skills/sun2443/designer-skills/sequence-load)
Your own site
<a href="https://agentmods.dev/skills/sun2443/designer-skills/sequence-load"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/sequence-load/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 sequence-load

Your own site · 80×15
<a href="https://agentmods.dev/skills/sun2443/designer-skills/sequence-load"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/sequence-load.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,024 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 100% copy Near-identical to another mod 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 $0.00033 $0.01024
Opus 5.5 $0.00013 $0.00410
Sonnet 5.5 $0.00007 $0.00205
Haiku 4.5 $0.00003 $0.00102

Measured 13d ago against content hash a536c7d818bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sequence-load 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 13d 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.

Origin

This is a copy

100% identical to sequence-load — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

partner-built/apollo/skills/sequence-load/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sequence Load

Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".

Examples

  • /apollo:sequence-load add 20 VP Sales at SaaS companies to my "Q1 Outbound" sequence
  • /apollo:sequence-load SDR managers at fintech startups → Cold Outreach v2
  • /apollo:sequence-load list sequences (shows all available sequences)
  • /apollo:sequence-load directors of engineering, 500+ employees, US → Demo Follow-up
  • /apollo:sequence-load reload 15 more leads into "Enterprise Pipeline"

Step 1 — Parse Input

From "$ARGUMENTS", extract:

Targeting criteria:

  • Job titles → person_titles
  • Seniority levels → person_seniorities
  • Industry keywords → q_organization_keyword_tags
  • Company size → organization_num_employees_ranges
  • Locations → person_locations or organization_locations

Sequence info:

  • Sequence name (text after "to", "into", or "→")
  • Volume — how many contacts to add (default: 10 if not specified)

If the user just says "list sequences", skip to Step 2 and show all available sequences.

Step 2 — Find the Sequence

Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_search to find the target sequence:

  • Set q_name to the sequence name from input

If no match or multiple matches:

  • Show all available sequences in a table: | Name | ID | Status |
  • Ask the user to pick one

Step 3 — Get Email Account

Use mcp__claude_ai_Apollo_MCP__apollo_email_accounts_index to list linked email accounts.

  • If one account → use automatically
  • If multiple → show them and ask which to send from

Step 4 — Find Matching People

Use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with the targeting criteria.

  • Set per_page to the requested volume (or 10 by default)

Present the candidates in a preview table:

# Name Title Company Location

Ask: "Add these [N] contacts to [Sequence Name]? This will consume [N] Apollo credits for enrichment."

Read the full file on GitHub · 121 lines

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. 13d ago First seen · 121 lines · 33 tokens per session scan A a536c7d818bc

Subscribe to this mod's changes

sequence-load is a skill published in the GitHub repository sun2443/designer-skills (0 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,024 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to sequence-load, differing in 0 lines, and is treated as a copy.

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