Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.
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.
npx skills add anthropics/knowledge-work-plugins --skill sequence-loadgit clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsWrote 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/anthropics/knowledge-work-plugins/sequence-load)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/sequence-load"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/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.
<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/sequence-load"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/sequence-load.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00033 | $0.01024 |
| Opus 5.5 | $0.00013 | $0.00410 |
| Sonnet 5.5 | $0.00007 | $0.00205 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
sequence-load scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
4 near-identical copies found in the catalogue:
- sequence-load — 100% identical, 0 lines differ
- sequence-load — 100% identical, 0 lines differ
- sequence-load — 100% identical, 2 lines differ
- sequence-load — 88% identical, 45 lines differ
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequence Load
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$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_locationsororganization_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_nameto 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_pageto 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."
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.
- 1mo ago First seen · 121 lines · 33 tokens per session scan A a536c7d818bc
sequence-load is a skill published in the GitHub repository anthropics/knowledge-work-plugins (33,434 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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