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 aAAaqwq/AGI-Super-Team --skill crm-automationgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/crm-automation)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/crm-automation"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/crm-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/aaaaqwq/agi-super-team/crm-automation"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/crm-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 | $0.03257 |
| Opus 5 | $0.00014 | $0.01629 |
| Sonnet 5 | $0.00006 | $0.00651 |
| Haiku 4.5 | $0.00003 | $0.00326 |
Grade A, and why
crm-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 6d 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
100% identical to crm-automation — 0 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 — 546 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRM Automation
Automate CRM workflows for HubSpot, Salesforce, and Pipedrive including lead management, deal tracking, pipeline automation, and multi-CRM synchronization. Based on n8n workflow templates.
Overview
This skill covers:
- Lead capture and enrichment automation
- Deal stage progression workflows
- Multi-CRM data synchronization
- Automated follow-up sequences
- Sales analytics and reporting
Core Workflow Patterns
1. Lead Capture → Enrichment → Assignment
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Lead Source │───▶│ Enrich Data │───▶│ Score Lead │───▶│ Route to │
│ (Form/API) │ │ (Clearbit) │ │ (AI/Rules) │ │ Sales Rep │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
│
┌─────────────┐ ┌─────────────┐ │
│ Start │◀───│ Create in │◀───┘
│ Sequence │ │ CRM │
└─────────────┘ └─────────────┘
n8n Configuration:
workflow: "Lead Capture to CRM"
trigger:
- type: webhook
event: form_submission
source: [website, landing_page, calendly]
steps:
1. capture_lead:
fields: [email, name, company, phone, source]
2. enrich_data:
provider: clearbit
lookup_by: email
append: [company_size, industry, title, linkedin]
3. score_lead:
model: ai_scoring # or rule-based
factors:
- company_size: {1-50: 10, 51-200: 20, 201+: 30}
- industry_fit: {high: 30, medium: 20, low: 10}
- title_seniority: {c-level: 30, director: 20, manager: 10}
threshold: 50 # MQL threshold
4. route_lead:
rules:
- if: score >= 80 AND industry == "tech"
assign_to: "Enterprise Team"
- if: score >= 50
assign_to: "SMB Team"
- else:
assign_to: "Marketing Nurture"
5. create_in_crm:
platform: hubspot
object: contact
properties:
email: "{email}"
firstname: "{first_name}"
company: "{company}"
lead_score: "{score}"
lead_source: "{source}"
6. start_sequence:
if: score >= 50
sequence: "New Lead Welcome"
delay: 1_hour
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.
- 6d ago First seen · 546 lines · 28 tokens per session scan A b3c9f124b28b
crm-automation is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 3,257 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to crm-automation, differing in 0 lines, and is treated as a copy.
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