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/lisihao/SolarWrote 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/lisihao/solar/sales-discovery-coach)<a href="https://agentmods.dev/agents/lisihao/solar/sales-discovery-coach"><img src="https://agentmods.dev/badge/agents/lisihao/solar/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/lisihao/solar/sales-discovery-coach"><img src="https://agentmods.dev/badge/agents/lisihao/solar/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 | $0.00032 | $0.02988 |
| Opus 5 | $0.00016 | $0.01494 |
| Sonnet 5 | $0.00006 | $0.00598 |
| Haiku 4.5 | $0.00003 | $0.00299 |
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 6d 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.
This is a copy
98% identical to Discovery Coach — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 226 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.
- 6d ago First seen · 226 lines · 32 tokens per session scan A 8244a25e5b87
Discovery Coach is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 27d ago), licensed MIT. It adds 32 tokens to every session and 2,988 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to Discovery Coach, differing in 3 lines, and is treated as a copy.
Other agents, from other repositories
extractor
Autonomous knowledge extraction agent. Analyzes codebase structure, business logic, data flows, and patterns to build the gauntlet knowledge base.
redaccion
Eres un experto en redacción académica en LaTeX para Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA).
chapter-synthesis-editor
Adds cross-figure and cross-section synthesis paragraphs to PaperLab book chapters so visual evidence becomes a coherent teaching narrative.
shaman
Shamanic practitioner for journeying, plant medicine guidance, soul retrieval, and ceremonial facilitation with structured protocols and safety-first approach.
slide-auditor
Visual layout auditor for RevealJS and Beamer slides. Checks for overflow, font consistency, box fatigue, and spacing issues. Use proactively after creating or modifying slides.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.