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 matteotitta/genesys-skills --skill outbound-send-orchestratorgit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/outbound-send-orchestrator)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/outbound-send-orchestrator"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/outbound-send-orchestrator/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/matteotitta/genesys-skills/outbound-send-orchestrator"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/outbound-send-orchestrator.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 | $0.00034 | $0.02735 |
| Opus 5 | $0.00017 | $0.01367 |
| Sonnet 5 | $0.00007 | $0.00547 |
| Haiku 4.5 | $0.00003 | $0.00274 |
Grade A, and why
outbound-send-orchestrator 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 9d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/outbound-send-orchestrator — send sheet → Gmail drafts + Slack reminders
Closes the gap between "the email is drafted" and "the human actually sent it + did the LinkedIn followup 24h later." Reads a SEND_SHEET.md (the canonical output of /outreach-emails campaign mode), creates one Gmail draft per contact, then schedules two Slack DMs per contact: a T+0 reminder when it's time to click send, and a T+24h-weekday reminder with the LinkedIn 1/2 connect note + LI 2/2 followup copy inline.
Imported via: /steal analysis of Andytoizer/agentoperator-outbound-engine (2026-05-05). Cite-only — no LICENSE in source repo. Pattern attribution: Andy Toizer.
When to run
Trigger on: "schedule sends", "fire this campaign", "wire up the Slack reminders", "send this batch", "hand off to me to send manually."
Do NOT use for:
- Autosend campaigns (use Apollo Sequences via
apollo:sequence-load, HubSpot, Lemlist, Smartlead, Instantly — anything that fires emails without human review). - Marketing email blasts to subscriber lists (use
/lifecycle-marketing). - LinkedIn-only campaigns with no email touch (the orchestrator pairs the two; LI-only doesn't need it).
- Single one-off emails (just create the Gmail draft directly).
Prerequisites
- Validated emails (run
/deepline-enrichfirst if any contact has a placeholder or unverified email). - LinkedIn URLs for every contact (the T+24h DM includes the URL inline).
- Slack MCP (
mcp__087d4f9f-*__slack_schedule_message) and Google Workspace MCP (mcp__google-workspace__draft_gmail_message) connected. - Operator's own Slack user ID (for DM-to-self) — surface from
slack_read_user_profileor the MCP tool description.
The load-bearing invariant — read this once, then never violate
Every Gmail draft must materialise BEFORE its matching Slack DM is scheduled. Never the inverse.
If you schedule the Slack DM first and the Gmail draft creation fails, the operator gets a "send this now" Slack ping at 9:03 AM with nothing in their drafts folder. They scramble, can't find the draft, the moment passes, the email never goes. The invariant exists to prevent exactly this failure mode (documented in the source repo at schedule-sends/SKILL.md lines 65-69).
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.
- 9d ago First seen · 182 lines · 224 tokens per session scan A 583775a9f3b8
outbound-send-orchestrator is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 2,735 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 2026-09-03.
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