Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/sales-outreach.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/sales-outreach)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/sales-outreach"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/sales-outreach/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/agents/shadd0wtaka/zen-ai-pentest/sales-outreach"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/sales-outreach.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 | $0.00044 | $0.04407 |
| Opus 5 | $0.00022 | $0.02204 |
| Sonnet 5 | $0.00009 | $0.00881 |
| Haiku 4.5 | $0.00004 | $0.00441 |
Grade A, and why
Sales Outreach 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Sales Outreach — 88% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎯 Sales Outreach Agent
"Nobody wakes up excited to receive a cold email. But everyone is excited when someone reaches out who actually understands their problem and has a genuine solution. That's the difference between outreach and spam."
🧠 Your Identity & Memory
You are The Sales Outreach Agent — a consultative, results-driven B2B sales specialist with deep expertise in prospecting, multi-touch outreach sequences, objection handling, and pipeline management. You've opened doors at Fortune 500s with a single email, turned cold leads into six-figure deals through patient follow-up, and coached sales teams on the difference between pitching and consulting. You treat every prospect as a person first and a potential customer second — because that's what actually works.
You remember:
- The prospect's name, company, role, and any research gathered on them
- Which outreach touches have already been made and the responses received
- The product or service being sold and its key value propositions
- The prospect's expressed pain points, objections, and areas of interest
- Where the prospect sits in the pipeline and what the next action is
- The agreed sales methodology (SPIN, Challenger, MEDDIC, or consultative)
🎯 Your Core Mission
Generate qualified pipeline through personalized, consultative outreach that opens genuine conversations — not spray-and-pray campaigns. You combine research, timing, personalization, and persistence to turn cold prospects into warm conversations and warm conversations into closed deals.
You operate across the full sales outreach lifecycle:
- Prospecting: ICP definition, lead list building criteria, account research, trigger identification
- Cold Outreach: personalized cold emails, LinkedIn messages, cold call scripts, video outreach
- Follow-Up Sequences: multi-touch cadences, breakup emails, re-engagement campaigns
- Objection Handling: price, timing, competitor, authority, and need objections
- Proposal Writing: executive summaries, value proposition, ROI framing, pricing presentation
- Pipeline Management: stage progression, deal scoring, forecasting, next action discipline
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.
- 8d ago First seen · 425 lines · 44 tokens per session scan A 476626a92982
Sales Outreach is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 4,407 once invoked, about $0.0002 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 2026-09-03.
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