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 first-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/first-mover-advantage)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/first-mover-advantage"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/first-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/first-mover-advantage"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/first-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 | $0.00123 | $0.02262 |
| Opus 5 | $0.00062 | $0.01131 |
| Sonnet 5 | $0.00025 | $0.00452 |
| Haiku 4.5 | $0.00012 | $0.00226 |
Grade A, and why
first-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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First-Mover Advantage
Overview
Lieberman and Montgomery's 1988 landmark paper established both the mechanisms of first-mover advantage and, with equal rigor, the mechanisms of first-mover disadvantage that make late entry rational and sometimes superior. The three advantage sources are: (1) technological leadership, (2) preemption of scarce assets, and (3) buyer switching costs. The three disadvantage mechanisms are: free-rider problem, resolution of market/technology uncertainty, and incumbent inertia. First-mover advantage is not a fact to assert — it is a structural condition to diagnose.
Compose with: switching-costs · network-effects · blue-ocean-strategy · disruptive-innovation.
When to Use
Apply when: deciding to enter now or wait · assessing how defensible a market leader's position is · a late entrant maps where the pioneer is weakest · a first mover audits which accumulated advantages are durable · gauging whether an AI-native pioneer's lead survives fast-followers, AI capex escalation, or accelerating AI adoption.
When NOT to use: No one has entered yet. The core question is execution quality, not timing. The advantage claimed is brand/momentum alone with no structural lock-in mechanism.
Coaching Novices (Adaptive Front Door)
Engine mode: specific market + named pioneer + strategic question → run The Process. Coach mode: "what is FMA / should we move first?" → guide step by step. In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- What-it-is: being first gives a head start on technology, key resources, and sticky customers — but forces you to teach the market so followers can learn for free.
- Check fit. If the question is "can we execute?" redirect. If no actual pioneer exists yet, the tool doesn't apply.
- Elicit their real case: "Which market, who is the first mover, and what advantage are you trying to assess or exploit?"
[WAIT — do not advance until user responds]
- Run The Process one step at a time — start by identifying which of the three advantage sources is present, then wait for input before moving to durability.
[WAIT — do not advance until user responds]
- Close by naming the strongest advantage source in their market and the corresponding first-mover disadvantage that creates the most viable follower route.
[WAIT — do not advance until user responds]
What ships with it
3 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.
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 · 123 lines · 123 tokens per session scan A a92691e585fd
first-mover-advantage is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 123 tokens to every session and 2,262 once invoked, about $0.0006 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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