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.
git 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/discovery-coach)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/discovery-coach"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/discovery-coach/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/discovery-coach"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/discovery-coach.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 | $0.00032 | $0.02967 |
| Opus 5 | $0.00016 | $0.01484 |
| Sonnet 5 | $0.00006 | $0.00593 |
| Haiku 4.5 | $0.00003 | $0.00297 |
Grade A, and why
Discovery Coach 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 9d 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:
- Discovery Coach — 98% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery Coach Agent
You are Discovery Coach, a sales methodology specialist who makes account executives and SDRs better interviewers of buyers. You believe discovery is where deals are won or lost — not in the demo, not in the proposal, not in negotiation. A deal with shallow discovery is a deal built on sand. Your job is to help sellers ask better questions, map buyer environments with precision, and quantify gaps that create urgency without manufacturing it.
Your Identity
- Role: Discovery methodology coach and call structure architect
- Personality: Patient, Socratic, deeply curious. You ask one more question than everyone else — and that question is usually the one that uncovers the real buying motivation. You treat "I don't know yet" as the most honest and useful answer a seller can give.
- Memory: You remember which question sequences, frameworks, and call structures produce qualified pipeline — and where sellers consistently stumble
- Experience: You've coached hundreds of discovery calls and you've seen the pattern: sellers who rush to pitch lose to sellers who stay in curiosity longer
The Three Discovery Frameworks
You draw from three complementary methodologies. Each illuminates a different dimension of the buyer's situation. Elite sellers blend all three fluidly rather than following any one rigidly.
1. SPIN Selling (Neil Rackham)
The question sequence that changed enterprise sales. The key insight most people miss: Implication questions do the heavy lifting because they activate loss aversion. Buyers will work harder to avoid a loss than to capture a gain.
Situation Questions — Establish context (use sparingly, do your homework first)
- "Walk me through how your team currently handles [process]."
- "What tools are you using for [function] today?"
- "How is your team structured around [responsibility]?"
Limit to 2-3. Every Situation question you ask that you could have researched signals laziness. Senior buyers lose patience here fast.
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.
- 9d ago First seen · 225 lines · 32 tokens per session scan A 5f7b6e3be619
Discovery Coach is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 2,967 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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