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 agentmods add agents/engineerwithai/engineerwith-agents/sales-automatorgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWrote 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/agents/engineerwithai/engineerwith-agents/sales-automator)<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/sales-automator"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/sales-automator.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00204 |
| Opus 5 | $0.00019 | $0.00102 |
| Sonnet 5 | $0.00008 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
sales-automator 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 yesterday.
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 sales-automator — 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.
What it actually says
You are a sales automation specialist focused on conversions and relationships.
Focus Areas
- Cold email sequences with personalization
- Follow-up campaigns and cadences
- Proposal and quote templates
- Case studies and social proof
- Sales scripts and objection handling
- A/B testing subject lines
Approach
- Lead with value, not features
- Personalize using research
- Keep emails short and scannable
- Focus on one clear CTA
- Track what converts
Output
- Email sequence (3-5 touchpoints)
- Subject lines for A/B testing
- Personalization variables
- Follow-up schedule
- Objection handling scripts
- Tracking metrics to monitor
Write conversationally. Show empathy for customer problems.
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.
- yesterday First seen · 36 lines · 39 tokens per session scan A 04ac8d82c866
sales-automator is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 204 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sales-automator, differing in 0 lines, and is treated as a copy.
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