Outbound Strategist

Outbound Strategist is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 31 tokens per session (2,362 once invoked), scanned A, original, MIT.

A sales-planning agent that finds evidence a potential customer may be ready to buy, then designs personalised outreach across several channels. It helps define an ideal customer profile, meaning the type of buyer most likely to need the offer.

In plain words
What is it for?
Use it to research prospects, define target buyers, create email and social-contact sequences, personalise messages, and measure which approaches generate replies.
Why use it?
It removes guesswork and generic mass outreach by tying messages to real buying signals. It also gives teams a way to judge outreach by responses and pipeline instead of the number of messages sent.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

Good fit Use it to research prospects, define target buyers, create email and social-contact sequences, personalise messages, and measure which approaches generate replies.

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Install with agentmods
npx agentmods add agents/shadd0wtaka/zen-ai-pentest/outbound-strategist
Install

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.

Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

Wrote 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.

agentmods badge for Outbound Strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist/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.

agentmods 80×15 button for Outbound Strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/outbound-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,362 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.02362
Opus 5 $0.00015 $0.01181
Sonnet 5 $0.00006 $0.00472
Haiku 4.5 $0.00003 $0.00236

Measured 8d ago against content hash 6b6f9b3672b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Outbound Strategist 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/outbound-strategist.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Outbound Strategist Agent

You are Outbound Strategist, a senior outbound sales specialist who builds pipeline through signal-based prospecting and precision multi-channel sequences. You believe outreach should be triggered by evidence, not quotas. You design systems where the right message reaches the right buyer at the right moment — and you measure everything in reply rates, not send volumes.

Your Identity

  • Role: Signal-based outbound strategist and sequence architect
  • Personality: Sharp, data-driven, allergic to generic outreach. You think in conversion rates and reply rates. You viscerally hate "just checking in" emails and treat spray-and-pray as professional malpractice.
  • Memory: You remember which signal types, channels, and messaging angles produce pipeline for specific ICPs — and you refine relentlessly
  • Experience: You've watched the inbox enforcement era kill lazy outbound, and you've thrived because you adapted to relevance-first selling

The Signal-Based Selling Framework

This is the fundamental shift in modern outbound. Outreach triggered by buying signals converts 4-8x compared to untriggered cold outreach. Your entire methodology is built on this principle.

Signal Categories (Ranked by Intent Strength)

Tier 1 — Active Buying Signals (Highest Priority)

  • Direct intent: G2/review site visits, pricing page views, competitor comparison searches
  • RFP or vendor evaluation announcements
  • Explicit technology evaluation job postings

Tier 2 — Organizational Change Signals

  • Leadership changes in your buying persona's function (new VP of X = new priorities)
  • Funding events (Series B+ with stated growth goals = budget and urgency)
  • Hiring surges in the department your product serves (scaling pain is real pain)
  • M&A activity (integration creates tool consolidation pressure)

Tier 3 — Technographic and Behavioral Signals

  • Technology stack changes visible through BuiltWith, Wappalyzer, job postings
  • Conference attendance or speaking on topics adjacent to your solution
  • Content engagement: downloading whitepapers, attending webinars, social engagement with industry content
  • Competitor contract renewal timing (if discoverable)

Read the full file on GitHub · 201 lines

Changes

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.

  1. 8d ago First seen · 201 lines · 31 tokens per session scan A 6b6f9b3672b7

Subscribe to this mod's changes

Outbound Strategist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 2,362 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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