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 deciqAI/knowledge-skills --skill last-mover-advantagegit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/last-mover-advantage)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/last-mover-advantage"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/last-mover-advantage/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/deciqai/knowledge-skills/last-mover-advantage"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/last-mover-advantage.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 | $0.00174 | $0.04436 |
| Opus 5 | $0.00087 | $0.02218 |
| Sonnet 5 | $0.00035 | $0.00887 |
| Haiku 4.5 | $0.00017 | $0.00444 |
Grade A, and why
last-mover-advantage 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Last Mover Advantage
Overview
Most founders and strategists treat "first" as the prize: enter before anyone else and the market is yours. Thiel's counter-claim in Zero to One (2014, ch. 3 & 5) is that entry order is a tactic, not a goal — the goal is to be the last mover: the company that makes the final great development in a market and then collects monopoly-grade profits for years or decades after. Moving first only matters if the position you seize is durable; if it isn't, you have merely paid to educate the company that displaces you. The chess analogy Thiel borrows is exact: grandmasters study the endgame first, because everything before it only matters insofar as it produces a winning final position.
The engine underneath is valuation math. Most of a durable business's value sits in cash flows 10–15+ years out — Thiel's own March 2001 calculation at PayPal put roughly 75% of the company's value in cash flows arriving after 2011, a decade away. So the binding question about any business is durability — "will this still be here, and dominant, ten years from now?" — not this quarter's growth. But growth is measurable and durability isn't, so founders, boards, and markets systematically over-index on growth and under-price endurance. The history backs the reframe: Google was late to search (1998, after Lycos, AltaVista, Yahoo), Facebook late to social (2004, after Friendster and MySpace), Apple late to smartphones (2007, after BlackBerry, Palm, Nokia) — each won by arriving with the development the category could not improve past.
This skill is the explicit dual of first-mover-advantage. Lieberman & Montgomery (1988) showed both first-mover advantages and disadvantages exist — free-rider effects, uncertainty resolution, incumbent inertia — leaving open which force dominates in a given market. Last-mover analysis supplies the missing decision rule: the endgame test. Define the market's terminal structure first; whichever entry timing best positions you to hold that terminal position is the right one. Compose with economic-moat (what makes the endgame position defensible) · monopoly-vs-competition (why the endgame prize is monopoly profits, not market share) · network-effects (the most common consolidation mechanism) · compound-interest (why decade-out cash flows dominate the valuation).
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 · 157 lines · 174 tokens per session scan A 9aa1680166d0
last-mover-advantage is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 174 tokens to every session and 4,436 once invoked, about $0.0009 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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