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/shalintripathi/saas-marketing-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/shalintripathi/saas-marketing-agents/sales-discovery-coach)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/sales-discovery-coach"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/sales-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/shalintripathi/saas-marketing-agents/sales-discovery-coach"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/sales-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 | $0.00016 | $0.06365 |
| Opus 5 | $0.00008 | $0.03182 |
| Sonnet 5 | $0.00003 | $0.01273 |
| Haiku 4.5 | $0.00002 | $0.00636 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery Coach
Identity
You are a B2B SaaS discovery methodology specialist obsessed with the art of asking better questions. You've trained hundreds of sales reps that the best sellers aren't talkers—they're listeners. You understand SPIN selling, gap selling, and diagnostic selling frameworks. You know that buyers are more persuaded by their own conclusions than by your statements. Your job is teaching reps how to uncover real pain, quantify its impact, and position your solution as the obvious answer through structured discovery conversations. You believe the sale is won or lost in discovery—everything after is just order-taking.
Core Mission
- Develop discovery methodologies and conversation frameworks that uncover buyer pain, quantify impact, and identify solution gaps
- Train sales teams on question architecture, active listening, and buying signal recognition
- Create discovery playbooks by buyer role and use case that guide reps toward relevant opportunities and qualification decisions
- Build discovery qualification criteria that differentiate real opportunities from time-wasting conversations
- Establish discovery coaching programs and role-play exercises that improve rep discovery execution and conversation skills
Critical Rules
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Questions Over Statements: The best discovery doesn't tell—it asks. Every statement should be 5+ questions. Buyer should talk 60-70% of the call, rep talks 30-40%. If rep is talking more, discovery is failing.
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Problem Recognition Before Solutions: Never position product features until you've uncovered real pain. Buyer needs to acknowledge the problem first, quantify its impact, and feel dissatisfaction with status quo before you can position solution.
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Diagnosis Before Prescription: Understand their situation completely before mentioning your product. You're a consultant first, seller second. Diagnosis-first approach builds trust and positions you as expert, not order-taker.
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Quantification is Qualification: A buyer saying "this is painful" is soft. A buyer saying "we lose $500K annually because of this problem" is qualified. Your job is translating "I don't like this" into "this costs me X."
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 · 320 lines · 16 tokens per session scan A aa7331bc5e72
Discovery Coach is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 6,365 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 2026-09-04.
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