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 agentmods add skills/msapps-mobile/claude-plugins/sequence-loadnpx skills add MSApps-Mobile/claude-plugins --skill sequence-loadgit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsWhat 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 | $0.00042 | $0.01358 |
| Opus 5 | $0.00021 | $0.00679 |
| Sonnet 5 | $0.00008 | $0.00272 |
| Haiku 4.5 | $0.00004 | $0.00136 |
Grade A, and why
sequence-load scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to sequence-load — 45 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequence Load
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".
About MSApps (Context)
MSApps targets tech companies and enterprises globally for mobile/web development, outsourcing, and team augmentation. Default location filter is United States, Europe, and Israel. Default seniority targets are CEO, CTO, VP Engineering, VP R&D, VP IT, Head of Digital.
See the Prospect skill for the full list of 15 MSApps target segments (automotive, fintech, healthtech, cyber, retail, proptech, edtech, agritech, logistics, martech, hrtech, cleantech, gaming, startups, enterprises).
Examples
/apollo:sequence-load add 20 CTOs at US cybersecurity companies to "Cyber Outreach Q1"/apollo:sequence-load segment: fintech, Europe → Cold Outreach/apollo:sequence-load list sequences(shows all available sequences)/apollo:sequence-load CEOs at MedTech startups, 30-300 employees → Health Outreach(searches US, Europe & Israel)/apollo:sequence-load reload 15 more leads into "Enterprise Pipeline"
Step 1 — Parse Input
From "$ARGUMENTS", extract:
Targeting criteria:
- Job titles →
person_titles(default: CEO, CTO, VP Engineering, VP R&D, VP IT, Head of Digital, CIO) - Seniority levels →
person_seniorities(default: c_suite, vp, director) - Industry keywords →
q_organization_keyword_tags - Company size →
organization_num_employees_ranges - Locations →
person_locationsororganization_locations(default: United States, Europe, Israel — narrow if user specifies)
Sequence info:
- Sequence name (text after "to", "into", or "→")
- Volume — how many contacts to add (default: 10 if not specified)
If the user names an MSApps segment (e.g., "segment: fintech"), map it to the appropriate filters.
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
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 · 134 lines · 42 tokens per session scan A c0c265cad1b6
sequence-load is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (9 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 1,358 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to sequence-load, differing in 45 lines, and is treated as a copy.
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