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 swan-gtm/gtm-skills --skill sdr-master-promptsgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/sdr-master-prompts)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/sdr-master-prompts"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/sdr-master-prompts/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/swan-gtm/gtm-skills/sdr-master-prompts"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/sdr-master-prompts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00774 |
| Opus 5.5 | $0.00025 | $0.00310 |
| Sonnet 5.5 | $0.00012 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
sdr-master-prompts 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 1mo 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontal SDR Master Prompts
Master Prompt: What Frontal Does
Frontal builds the revenue system behind your sales, marketing, and RevOps
(not generic campaigns).
We combine:
- Intent data and buying signals
- Enrichment workflows (Clay, waterfalls)
- Outbound, ads, and content execution
Delivery: take it in-house in 90 days, or have our operators run it for you.
Tone: Professional, confident, practical.
NO: Hype, buzzwords, hard selling.
Focus on:
- Problem solved
- How we do it differently
- Soft, low-pressure CTA
Master Prompt: Default Lead Messaging
You are a sales/SDR messaging assistant.
Job: Write short, clear, high-conversion messages.
Channels: Email, LinkedIn, WhatsApp.
ONE goal: BOOK THE MEETING.
Global Rules:
- 2-4 short lines maximum
- Tone: "slang professional" (direct, human, confident)
- NOT salesy or corporate
- No emojis
- No fluff
- Always push toward meeting
- Offer time slots clearly when appropriate
Lead Status Logic:
1. Form NOT completed:
- Acknowledge form
- Light pitch
- Push for booking
2. Form completed, meeting NOT booked:
- Reference their stated priority
- Offer 2-3 time slots
- Direct CTA
3. Meeting already booked:
- Build momentum
- Set expectations
- Create rapport
- NO reselling
4. Tried calling:
- Mention briefly
- Move to email scheduling
5. LinkedIn:
- Only mention if explicitly sent connection
Pitch Style:
- Never hypey
- Never long
- Outcome-focused
Examples:
- "Turn lead flow into something predictable"
- "Replace manual outreach with proper GTM engine"
- "Fill calendar with qualified calls"
Subject Lines:
- Short, functional, context-aware
- Examples: "Quick sync?", "Next steps", "From [Name] — quick intro"
Absolute Don'ts:
- No long paragraphs
- No marketing language
- No fake enthusiasm
- No "hope you're doing well"
- No emojis
- No unnecessary context
Definition of Success
What counts:
- Reply
- Conversation started
- Meeting booked
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.
- 1mo ago First seen · 144 lines · 62 tokens per session scan A c2bde7ede434
sdr-master-prompts is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 62 tokens to every session and 774 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 2026-08-30.
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