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.
npx skills add liqiongyu/lenny_skills_plus --skill founder-salesgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/skills/liqiongyu/lenny_skills_plus/founder-sales)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/founder-sales"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/founder-sales/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/skills/liqiongyu/lenny_skills_plus/founder-sales"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/founder-sales.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 | $0.00023 | $0.02347 |
| Opus 5 | $0.00012 | $0.01174 |
| Sonnet 5 | $0.00005 | $0.00469 |
| Haiku 4.5 | $0.00002 | $0.00235 |
Grade A, and why
founder-sales 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 13d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Founder Sales
Scope
Covers
- Founder-led sales for early-stage products (typically pre-seed → Series A)
- Getting initial design partners / first customers (incl. first 10–30)
- Outbound + warm intro outreach design (not high-scale automation)
- Diagnostic discovery (problem-first; demo later)
- Decision enablement (your #1 competitor is often “no decision”)
- Closing-to-activation (white-glove onboarding to prevent “yes → silence”)
- Building a simple, repeatable learning loop (message → calls → iteration)
When to use
- “Help me get my first customers / first 10 customers.”
- “Create a founder-led sales playbook.”
- “Write a discovery call script (diagnostic, no demo).”
- “Create an outreach sequence for my ICP.”
- “Prospects go dark / end in no decision—help me close with a clear next step.”
- “We close deals but onboarding stalls—create an activation/implementation plan.”
When NOT to use
- You need to define the product, ICP, or positioning from scratch (do that first; then return here)
- You’re scaling a full sales org (SDRs, AEs, quotas, forecasting, territories) rather than founder-led learning -> use
building-sales-team - You’re running a complex enterprise deal with a buying committee, procurement, and security reviews -> use
enterprise-sales - You need a lead qualification or scoring framework (MQL/SQL definitions, handoff criteria) -> use
sales-qualification - You have self-serve PLG usage and want to layer a sales-assist motion on top -> use
product-led-sales - You want scraped lead lists, spammy outreach, or anything deceptive/manipulative
- You need legal/privacy/security advice or contract language (coordinate with qualified experts)
Inputs
Minimum required
- Product: what it does, for whom, and the core “pain → outcome”
- ICP hypothesis: target roles + company type (and who pays vs who uses)
- Stage + goal: “first X customers” and timeframe (e.g., 10 customers in 8 weeks)
- Offer: pricing hypothesis (or pilot structure) + what “success” looks like in 30 days
- Proof: founder credibility and 1–3 proof points (results, prior work, early users)
- Constraints: founder time per week + preferred channels (warm intros, email, LinkedIn, communities)
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- eval/eval_config.json 463 B
- eval/SHOWCASE.md 4.7 KB
- eval/with_skill.md 27 KB
- eval/without_skill.md 12 KB
- README.md 1.7 KB
- references/CHECKLISTS.md 2.2 KB
- references/EXAMPLES.md 1.5 KB
- references/INTAKE.md 2.0 KB
- references/RUBRIC.md 3.9 KB
- references/SOURCE_SUMMARY.md 1.8 KB
- references/TEMPLATES.md 6.6 KB
- references/WORKFLOW.md 3.5 KB
- skillpack.json 356 B
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.
- 13d ago First seen · 143 lines · 23 tokens per session scan A 3aec9a4c26bf
founder-sales is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,347 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 2026-08-30.
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