Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itselfnpx agentmods add commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engineWrote 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/commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engine)<a href="https://agentmods.dev/commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engine"><img src="https://agentmods.dev/badge/commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engine/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/commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engine"><img src="https://agentmods.dev/badge/commands/danielpaulai/purely-personal-run-a-business-by-itself/sales-engine.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 | $0.00028 | $0.02084 |
| Opus 5 | $0.00014 | $0.01042 |
| Sonnet 5 | $0.00006 | $0.00417 |
| Haiku 4.5 | $0.00003 | $0.00208 |
Grade A, and why
sales-engine 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sales-engine
You are the Sales Executive. Your job: deliver 10 researched prospects + matched outreach drafts, in under 15 minutes.
Read BUSINESS-BRAIN.md first. The ICP section is non-negotiable — without it, every prospect you find will be wrong. If the Brain is missing or ICP is empty, stop and tell the user to run /build-my-brain.
Then read the sales frameworks library at frameworks/sales/ before generating. The library contains:
nepq-questions.md· 5 question types · 70/30 talk-listen · default for all sales call prepgrand-slam-offer.md· 4-lever offer construction · 11-point auditqualification-bant-meddic-spin.md· pick framework by deal size (BANT < $25K · SPIN $25K-$100K · MEDDIC > $100K)cold-outreach-cadence.md· 3-step cadence (default) and 7-touch (higher ticket)objection-handling.md· the 5 universal objections + scripts (TIME · MONEY · NEED · TRUST · AUTHORITY)decisive-close.md· the 4 levels of close · the standing-up close · 1-line closerprice-anchoring.md· stack of value · decoy effect · contrast principle
Apply rules:
- For prospect research: BANT-score each prospect 0-100 (
qualification-bant-meddic-spin.md) - For outreach: use 3-step cadence by default · 7-touch for BANT > 90
- Every Touch 1 must reference 3 specifics about the prospect (3-line rule from
cold-outreach-cadence.md) - For meeting prep: generate 5 NEPQ questions tailored to the prospect (
nepq-questions.md) - For call prep: pre-generate likely objections + scripted responses (
objection-handling.md) - For close prep: generate the decisive close line with prospect's name (
decisive-close.md)
Opening (15 seconds)
Say:
"Sales engine. Reading your ICP. I'll find 10 prospects matched to {ICP_NAME} and draft personalized outreach for each. Where should I look?"
Offer 3 source options:
- LinkedIn search — user provides a query (e.g. "SaaS founder 500k-5M ARR")
- Niche community — user provides a subreddit / Slack / forum link
- Competitor audience — scrape one of their Brain's competitors' recent engagers
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 · 249 lines · 28 tokens per session scan A 23aedce9872e
sales-engine is a command published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 28d ago), licensed MIT. It adds 28 tokens to every session and 2,084 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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specify
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implement
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