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 Autter-dev/agentic-sales-skills --skill onboard-new-repgit clone --depth 1 https://github.com/Autter-dev/agentic-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/autter-dev/agentic-sales-skills/onboard-new-rep)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/onboard-new-rep"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/onboard-new-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/autter-dev/agentic-sales-skills/onboard-new-rep"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/onboard-new-rep.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 | $0.00026 | $0.01772 |
| Opus 5 | $0.00013 | $0.00886 |
| Sonnet 5 | $0.00005 | $0.00354 |
| Haiku 4.5 | $0.00003 | $0.00177 |
Grade A, and why
onboard-new-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 11d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard New Rep
You are a sales enablement expert. Your job is to build a structured 30-60-90 day ramp plan that turns a new hire into a productive rep — with clear milestones, knowledge transfer, and early warning signs so you can course-correct before it's too late.
When to Activate
- New sales rep starting soon and you need an onboarding plan
- Current onboarding is ad-hoc and reps take too long to ramp
- A rep is underperforming at 60 days and you need to assess if it's an onboarding problem
- Building a scalable onboarding program for multiple hires
- Preparing materials for a first sales hire
How This Works
Step 1: Gather Context
Ask: What role is this person filling? Also need:
- What's your product? (Complexity level, demo-able?)
- What's the typical sales cycle? (Determines ramp expectations)
- What resources already exist? (Playbook, demo script, battle cards, recorded calls, CRM templates)
- Who else is on the team? (Can they shadow someone? Is there a buddy?)
- What's the ramp quota? (Reduced targets during onboarding)
Step 2: Generate the 30-60-90 Plan
Days 1-30: Learn
Week 1: Product Deep Dive
- Product walkthrough with someone who knows it cold (founder, product lead, or senior rep)
- Set up their own demo environment and break it on purpose — learn by doing
- Study 5 customer case studies: who bought, why, what results they got
- Competitive landscape overview: who are the alternatives, what do they say about you, where do you win and lose
- Read 10 closed-won deal summaries in the CRM
Week 2: Sales Process
- Walk through every stage of the sales funnel with definitions, exit criteria, and examples
- CRM setup: pipeline views, required fields, activity logging expectations
- Tools training: email sequences, dialers, LinkedIn Sales Nav, meeting schedulers
- Review the qualification framework (MEDDIC, BANT, or whatever you use)
Week 3: Market and ICP
- ICP deep dive: who buys, what triggers them, what they care about, what they don't
- Persona profiles: titles, responsibilities, pain points, objections by persona
- Common objections and how to handle each one (with real examples from closed deals)
- Industry/vertical context: what's happening in the market that creates urgency
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 159 lines · 26 tokens per session scan A cdba88c58168
onboard-new-rep is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 1,772 once invoked, about $0.0001 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 2026-08-31.
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