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 manojbajaj95/claude-gtm-plugin --skill marketing-automationgit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/marketing-automation)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/marketing-automation"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/marketing-automation/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/manojbajaj95/claude-gtm-plugin/marketing-automation"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/marketing-automation.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 | $0.00028 | $0.01506 |
| Opus 5 | $0.00014 | $0.00753 |
| Sonnet 5 | $0.00006 | $0.00301 |
| Haiku 4.5 | $0.00003 | $0.00151 |
Grade A, and why
marketing-automation 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 12d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Automation Expert
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Marketing automation strategy and implementation across HubSpot, Marketo, ActiveCampaign, and similar platforms.
Platform Selection
| Platform | Best For | Complexity | Cost |
|---|---|---|---|
| HubSpot | SMB to Enterprise, all-in-one | Medium | $$$–$$$$ |
| Marketo | Enterprise B2B | High | $$$$ |
| ActiveCampaign | SMB, strong automation | Low–Medium | $–$$ |
| Pardot | Salesforce-native B2B | Medium–High | $$$$ |
| Mailchimp | Small business, email-first | Low | $–$$ |
Selection criteria: CRM integration, email volume, workflow complexity, reporting depth, budget, team technical skill.
Lead Scoring Model
MQL threshold: 100 points. Decay: −10 points after 30 days of inactivity.
Behavioral Scoring
| Action | Points |
|---|---|
| Request demo | +50 |
| Pricing page visit | +30 |
| Case study download | +25 |
| Webinar attendance | +25 |
| Webinar registration | +15 |
| Content download | +10 |
| Email click | +3 (max 5/day) |
| Email open | +1 (max 3/day) |
| Blog visit | +1 (max 5/day) |
| Unsubscribe | −30 |
| Email bounce | −20 |
| Spam complaint | −100 |
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.
- 12d ago First seen · 156 lines · 28 tokens per session scan A 686566899765
marketing-automation is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (100 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 1,506 once invoked, about $0.0001 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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