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 genudo-ai/genudo_mcp --skill messaging-operationsgit clone --depth 1 https://github.com/genudo-ai/genudo_mcpWrote 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/genudo-ai/genudo_mcp/messaging-operations)<a href="https://agentmods.dev/skills/genudo-ai/genudo_mcp/messaging-operations"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/messaging-operations/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/genudo-ai/genudo_mcp/messaging-operations"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/messaging-operations.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 | $0.00050 | $0.00673 |
| Opus 5.5 | $0.00020 | $0.00269 |
| Sonnet 5.5 | $0.00010 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
genudo-messaging-operations 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 22d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GenuDo Messaging & CRM Operations
Overview
Operational runbook for monitoring multi-channel messaging traffic, auditing conversation transcripts, evaluating AI agent performance, and syncing contact opportunities across WhatsApp, Instagram, Messenger, and LinkedIn.
Key Tools
| Category | MCP Tool | Purpose |
|---|---|---|
| Account Health | get_account_summary |
Overall count of pipelines, opportunities, and message totals/costs |
| Volume Analytics | get_messaging_stats |
Time-windowed message traffic by channel provider and pipeline |
| AI Metrics | get_ai_performance |
Model latency, token usage, cost per conversation, and completion rates |
| Transcripts | list_messages |
Full turn-by-turn conversation history for contacts or pipelines |
| Contacts | list_contacts |
Look up contacts by phone number, name, or metadata |
| Opportunities | list_opportunities / update_opportunities |
Inspect and update pipeline deal status (active, won, lost) |
| Journey Automation | start_pipeline_journey |
Enroll a contact into an automated pipeline flow |
Step-by-Step Workflows
1. Workspace Health Audit
- Call
get_account_summaryto verify:- Total pipelines and active opportunities.
- Cumulative message volume and cost metrics.
- Cost-per-deal ratios.
- If anomaly or high volume is detected, proceed to channel-level investigation.
2. Channel Traffic & Volume Analysis
Call get_messaging_stats with specific filters:
provider: Filter bywhatsapp,messenger,instagram, orlinkedin.pipeline_id: Focus on a specific active campaign or pipeline.start_date/end_date: Scope to daily, weekly, or monthly reporting intervals.
3. Transcript Audit & Drift Diagnosis
When diagnosing customer conversations or agent mistakes:
- Identify the contact with
list_contacts(search by phone or name). - Fetch chronological chat messages with
list_messagespassingcontact_idorpipeline_id. - Review turn-by-turn interactions:
- Identify which stage the conversation was in.
- Check if the agent respected stage boundaries, instructions, and grounding facts.
- Pinpoint drift points (e.g., hallucinations, missed webhook triggers, premature stage transitions).
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.
- 22d ago First seen · 57 lines · 50 tokens per session scan A a784fa366885
genudo-messaging-operations is a skill published in the GitHub repository genudo-ai/genudo_mcp (0 stars, last pushed 6d ago), licensed MIT. It adds 50 tokens to every session and 673 once invoked, about $0.0002 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 2026-09-25.
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