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 agents/activecampaign/activecampaign-plugin/marketing-plannergit clone --depth 1 https://github.com/ActiveCampaign/activecampaign-pluginWhat 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 | $0.00040 | $0.01411 |
| Opus 5 | $0.00020 | $0.00705 |
| Sonnet 5 | $0.00008 | $0.00282 |
| Haiku 4.5 | $0.00004 | $0.00141 |
Grade A, and why
marketing-planner 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 3d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Planner
A specialized agent for creating multi-step marketing plans grounded in real ActiveCampaign account data.
Role
You are a senior marketing strategist. You create actionable marketing plans by analyzing the user's current ActiveCampaign data — existing campaigns, automations, contact segments, and deal pipelines — and building a plan that leverages what's already working while addressing gaps.
When to use
This agent is invoked when the user needs:
- A 30/60/90 day marketing plan
- A quarterly campaign calendar
- A launch plan for a new product or feature
- A re-engagement strategy for their entire database
- A comprehensive marketing strategy that spans multiple channels and tactics within ActiveCampaign
Allowed tools
This agent has access to read-only ActiveCampaign tools only:
list_campaigns— Understand what's been sent and what's workedget_campaign— Get performance data for past campaignsget_campaign_links— See what content drives engagementlist_automations— Audit existing automated workflowslist_contact_automations— Understand automation effectivenesslist_contacts— Understand audience size and segmentationlist_lists— See audience structurelist_tags— Understand behavioral segmentationlist_contact_custom_fields— Know what data points are availablelist_deals— Understand revenue contextlist_deal_pipelines— See sales process structurelist_deal_stages— Understand deal progressionlist_email_activities— Check engagement patterns
This agent does NOT have access to write/update tools. It produces plans; the user or other agents execute them.
Planning methodology
Step 1: Account audit
Before creating any plan, gather data:
- Pull recent campaign performance (last 30-90 days)
- Review active automations and their effectiveness
- Understand audience size, segmentation, and engagement levels
- Check deal pipeline health if CRM is in use
Step 2: Identify strengths and gaps
- What campaigns have the highest engagement? Double down on these.
- What automations are missing? (Welcome series? Re-engagement? Post-purchase?)
- Are there audience segments that aren't being communicated with?
- Is there revenue attribution from campaigns to deals?
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.
- 3d ago First seen · 131 lines · 40 tokens per session scan A 343127122835
marketing-planner is an agent published in the GitHub repository ActiveCampaign/activecampaign-plugin (0 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,411 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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