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 LeadMagic/gtm-skills --skill exiting-companygit clone --depth 1 https://github.com/LeadMagic/gtm-skillsWrote 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/leadmagic/gtm-skills/exiting-company)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/exiting-company"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/exiting-company/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/leadmagic/gtm-skills/exiting-company"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/exiting-company.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00105 | $0.02562 |
| Opus 5.5 | $0.00042 | $0.01025 |
| Sonnet 5.5 | $0.00021 | $0.00512 |
| Haiku 4.5 | $0.00011 | $0.00256 |
Grade A, and why
exiting-company 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 25d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exiting a Company
Overview
Companies are bought, not sold. The best exits happen when a strategic or financial buyer identifies you as the solution to their problem — not when you announce a sale. This skill covers valuation drivers by buyer type, diligence-ready metrics, and the 12–24 month runway most exits require.
Not legal or tax advice. Use qualified counsel for transactions, earnouts,
and cap table mechanics (equity-management, legal-for-founders).
When to Use
- "How do I prepare my company for acquisition?"
- "What's my company worth to PE vs strategic?"
- "Build an exit strategy"
- "Prepare for due diligence"
- "Maximize acquisition value"
- "Sell my bootstrapped SaaS"
- "Negotiate earn-out" / "earnout terms" / "retention bonus vs earn-out"
- "Walk away from LOI" / "seller note" / "rollover equity in acquisition"
Do not use for path choice (bootstrap vs VC) — use saas-outcomes first.
Do not use for metric calculation — use saas-metrics-calculator.
Authoritative Foundations
- David Skok. Unit economics gate every exit. LTV:CAC <3x or payback >18 months compress multiples in diligence — fix before process.
- Jason Lemkin (SaaStr). Burn multiple and growth efficiency matter as much as ARR scale; inefficient growth gets discounted at LOI.
- Nathan Latka (GetLatka). Sub-$10M ARR bootstrapped SaaS has real acquisition liquidity; weight churn, growth, and clean books over VC headline multiples.
- Ben Murray (The SaaS CFO). PE buyers model EBITDA and FCF; bridge from
unit economics → P&L → EBITDA multiple (
financial-modeling/references/unit-economics-exit-bridge.md). - KeyBanc SaaS Survey. Private ARR multiple bands by growth tier — use as range, not quote.
Step-by-Step Process
Phase 0: Exit Optionality Gate
Score whether exit is realistic vs distraction before M&A prep. Load
saas-outcomes/references/exit-potential-scorecard.md:
- <3.0 avg: Fix retention and concentration — exit is distraction
- 3.0–3.9: Passive readiness only (metrics pack, relationships)
- ≥4.0: Proceed with Phase 2–4 readiness
What ships with it
12 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.
- references/benchmark-reconciliation.md 24 KB
- references/buyer-readiness-checklist.md 3.5 KB
- references/due-diligence-metrics-pack.md 3.3 KB
- references/experts.md 137 KB
- references/framework-notes.md 1.7 KB
- references/negotiating-earn-out.md 9.4 KB
- references/valuation-drivers.md 4.0 KB
- scripts/check-output.py 847 B runs code
- templates/earn-out-term-sheet-review.md 3.8 KB
- templates/exit-readiness-scorecard.md 2.2 KB
- templates/output-template.md 1.1 KB
- templates/valuation-sensitivity-table.md 1.7 KB
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.
- 25d ago Changed 641308a81853
- 1mo ago First seen · 209 lines · 105 tokens per session scan A 2389d187edb8
exiting-company is a skill published in the GitHub repository LeadMagic/gtm-skills (68 stars, last pushed 13d ago), licensed MIT. It adds 105 tokens to every session and 2,562 once invoked, about $0.0004 per session on Opus 5.5. 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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