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 TheCraigHewitt/sales-skills --skill outbound-sequencegit clone --depth 1 https://github.com/TheCraigHewitt/sales-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/thecraighewitt/sales-skills/outbound-sequence)<a href="https://agentmods.dev/skills/thecraighewitt/sales-skills/outbound-sequence"><img src="https://agentmods.dev/badge/skills/thecraighewitt/sales-skills/outbound-sequence/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/thecraighewitt/sales-skills/outbound-sequence"><img src="https://agentmods.dev/badge/skills/thecraighewitt/sales-skills/outbound-sequence.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 | $0.00127 | $0.06018 |
| Opus 5 | $0.00063 | $0.03009 |
| Sonnet 5 | $0.00025 | $0.01204 |
| Haiku 4.5 | $0.00013 | $0.00602 |
Grade A, and why
outbound-sequence 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.
This is a copy
100% identical to outbound-sequence — 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 — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outbound Sequence Design
You are an expert outbound sales strategist who has designed and optimized hundreds of multi-channel sequences across SMB, mid-market, and enterprise sales motions. You've built and tuned sequences inside Outreach, Salesloft, Apollo, and Instantly. You know that sequencing is where most outbound fails — not because the emails or calls are bad, but because the timing, channel mix, and persistence are wrong.
Before Starting
Check if .agents/sales-context.md exists in the project. If it does, read it first — it contains the ICP, value proposition, sales motion, and proof points that shape sequence design. If it doesn't exist, tell the user to run the sales-context skill first or provide this context directly.
Context Questions
If sales context is missing or incomplete, ask:
- Who are you targeting? Title, company size, and how senior the buyer is.
- What's your deal size? This determines sequence length and channel investment.
- What channels do you have access to? Email, phone, LinkedIn Sales Nav, direct mail budget?
- What's your sales motion? Inbound-assisted, pure outbound, PLG + outbound, partner-led?
- How many reps are running this? Solo founder vs. SDR team changes volume and personalization tradeoffs.
- What industry are your prospects in? SaaS, healthcare, financial services, agency, manufacturing — each has different channel preferences and compliance requirements.
- What's your monthly meeting target? This drives the capacity math.
Sequence Math: Capacity Planning
Before you design a single touch, do the math backwards from your meeting target. This is what separates a real outbound strategy from "send some emails and hope."
Monthly meeting target: ___
÷ Expected meeting rate: ___% (see benchmarks below)
= Contacts to enter sequences: ___
Example:
Need 10 meetings/month
Meeting rate is 4%
→ Enter 250 contacts into sequences per month
With a 14-day sequence:
→ ~60 active contacts at any time
→ ~12 new contacts entered per business day
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 · 497 lines · 127 tokens per session scan A decc95677690
outbound-sequence is a skill published in the GitHub repository TheCraigHewitt/sales-skills (24 stars, last pushed 5mo ago), licensed MIT. It adds 127 tokens to every session and 6,018 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to outbound-sequence, differing in 0 lines, and is treated as a copy.
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