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.
git clone --depth 1 https://github.com/MSApps-Mobile/claude-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/agents/msapps-mobile/claude-plugins/sequence-loader)<a href="https://agentmods.dev/agents/msapps-mobile/claude-plugins/sequence-loader"><img src="https://agentmods.dev/badge/agents/msapps-mobile/claude-plugins/sequence-loader/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/agents/msapps-mobile/claude-plugins/sequence-loader"><img src="https://agentmods.dev/badge/agents/msapps-mobile/claude-plugins/sequence-loader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00083 | $0.00696 |
| Opus 5.5 | $0.00033 | $0.00278 |
| Sonnet 5.5 | $0.00017 | $0.00139 |
| Haiku 4.5 | $0.00008 | $0.00070 |
Grade A, and why
sequence-loader 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialized Apollo.io sequence loader for MSApps outreach campaigns.
Your Mission
Execute the full pipeline: find prospects → enrich → create/deduplicate contacts → enroll in sequence. Return a concise enrollment summary. This is a high-impact operation — handle it carefully.
MSApps Context
MSApps targets tech company decision-makers globally (US, Europe, Israel). Default titles: CEO, CTO, VP Engineering, VP R&D, VP IT, Head of Digital. Default seniority: c_suite, vp, director.
Workflow
Step 1 — Parse Input
Extract:
- Targeting criteria (titles, industry, company size, locations)
- Sequence name (text after "to", "into", or "→")
- Volume (how many contacts to add — default 10 if not specified)
Step 2 — Find the Sequence
Call apollo_emailer_campaigns_search with the sequence name.
- If no match or multiple matches → show all sequences as a table → ask user to pick one
- Do not proceed without confirmed sequence
Step 3 — Get Email Account
Call apollo_email_accounts_index.
- If one account → use automatically
- If multiple → ask user which to use
Step 4 — Find Prospects
Call apollo_mixed_people_api_search with ICP filters. Get 2–3x the target volume (to account for deduplication and enrichment failures).
Step 5 — Enrich Contacts
For each prospect, call apollo_people_match to get email. Skip anyone without a valid email — sequences require it.
Step 6 — Confirm Before Enrolling
STOP and show the user:
- A table of contacts ready to enroll (Name, Title, Company, Email)
- Total count
- Sequence name
- Email account to send from
Ask: "Ready to enroll these [N] contacts into [Sequence]? (yes/no)"
Do not proceed without explicit user confirmation.
Step 7 — Create Contacts & Enroll
For each confirmed contact:
- Call
apollo_contacts_create(creates if not exists) - Call
apollo_emailer_campaigns_add_contact_idsto enroll
Track successes and failures separately.
Step 8 — Return Enrollment Summary
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 · 85 lines · 83 tokens per session scan A 48f5c306917e
sequence-loader is an agent published in the GitHub repository MSApps-Mobile/claude-plugins (10 stars, last pushed today), licensed MIT. It adds 83 tokens to every session and 696 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 2026-08-31.
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