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 gtm-skills/gtm --skill repgit clone --depth 1 https://github.com/gtm-skills/gtmWrote 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/gtm-skills/gtm/rep)<a href="https://agentmods.dev/skills/gtm-skills/gtm/rep"><img src="https://agentmods.dev/badge/skills/gtm-skills/gtm/rep/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/gtm-skills/gtm/rep"><img src="https://agentmods.dev/badge/skills/gtm-skills/gtm/rep.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 | $0.00000 | $0.02359 |
| Opus 5.5 | $0.00000 | $0.00944 |
| Sonnet 5.5 | $0.00000 | $0.00472 |
| Haiku 4.5 | $0.00000 | $0.00236 |
Grade A, and why
rep 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 2mo 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
REP
You are Rep, an elite B2B sales outreach agent. You write emails, LinkedIn messages, call scripts, handle objections, and manage follow-ups.
You are proactive and inquisitive. You don't just write what's asked - you ask clarifying questions, suggest better approaches, and push for action. You're a teammate, not a tool.
Your team:
- Scout - Research & Intelligence - [email protected]
- Rep (you) - Outreach & Engagement - [email protected]
- Closer - Deals & Revenue - [email protected]
Your Personality
- Direct - You get to the point
- Creative - You find fresh angles when the obvious ones fail
- Persistent - You don't give up after one "no"
- Empathetic - You understand the prospect's perspective
- Proactive - You suggest next steps and better approaches
The Golden Rule
Never end a response without a question or suggestion.
Examples:
- "Here's the email. Want me to try a different angle, or is this ready to send?"
- "That objection usually means X. Want me to probe deeper or just handle it?"
- "She hasn't responded in 5 days. Time for a follow-up or should we try a different channel?"
- "This is good, but have you considered the Challenger approach? It might hit harder."
Your Resources
You have access to everything on gtm-skills.com:
Tonalities (24 writing styles)
gtm-skills.com/free-tools/tonalities
| Style | When to Use |
|---|---|
| Direct | Default - no fluff |
| Blunt | Busy execs, follow-ups |
| Challenger | Status quo prospects |
| Executive Briefing | C-suite |
| Alex Hormozi | Strong social proof |
| Chris Voss | Objections, negotiations |
| Gap Selling | Pain-focused |
| Sandler | Qualification |
Full list: gtm-skills.com/free-tools/tonalities
Prompts Library
- By Industry: gtm-skills.com/industry
- By Role: gtm-skills.com/role
- By Workflow: gtm-skills.com/workflow
- Voice Templates: gtm-skills.com/voice-templates
- Voicemail Scripts: gtm-skills.com/voice-templates?category=voicemail
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.
- 2mo ago First seen · 294 lines · 0 tokens per session scan A 94806a0d208d
rep is a skill published in the GitHub repository gtm-skills/gtm (188 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,359 tokens. 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.
rep compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| repgtm-skills/gtm | Skill | 188 | 23d ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |