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 narrow-gate-strategygit 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/narrow-gate-strategy)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/narrow-gate-strategy"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/narrow-gate-strategy/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/narrow-gate-strategy"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/narrow-gate-strategy.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 | $0.00117 | $0.02166 |
| Opus 5 | $0.00059 | $0.01083 |
| Sonnet 5 | $0.00023 | $0.00433 |
| Haiku 4.5 | $0.00012 | $0.00217 |
Grade A, and why
narrow-gate-strategy 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Narrow Gate Strategy
Overview
The narrow gate is the path that is genuinely difficult, genuinely right, and genuinely compounding — avoided by most who prefer immediate legibility over long-term leverage. Three simultaneous conditions: (1) hard enough to deter most, (2) right — builds durable value not just scar tissue, (3) compounds — each phase creates conditions for the next to generate disproportionate returns.
Composes with [second-order-thinking] (map long-game consequences before choosing), [margin-of-safety] (prevent overextension in lean phases), and [okr-goal-setting] (orient goals toward phase structure, not short-cycle legibility metrics).
When to Use
- Choosing which capability, market, or technology to invest in over a multi-year horizon.
- Evaluating whether to persist or pivot when a hard path is showing slow early returns.
- Designing a moat-building strategy requiring patient accumulation rather than fast acquisition.
- Auditing whether current resource allocation is building durable advantage or appearing busy.
- When facing the temptation to "do what's working for everyone else."
When NOT to use: Path is hard but wrong (not a narrow gate). Vindication horizon exceeds survival window. Speed dominates compounding. "Narrow gate" is rationalizing sunk cost.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user unfamiliar or no concrete case → 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: Narrow Gate Strategy — choose the path that is hard, right, and compounding; build it phase by phase instead of the wide crowded path that looks easier but leads to mediocre outcomes.
- Check fit: "Is there an 'obvious' move most people in your domain are making? What hard thing would very few attempt, and would it compound into structural advantage?"
- Elicit the real case: "Describe both the wide gate and the narrow gate. What makes the narrow gate hard — and what makes it right?"
[WAIT — do not advance until user responds]
- Run The Process one step at a time: Map each of the four phases for their specific situation.
[WAIT — do not advance until user responds]
- Close by naming the insight: "What structural advantage would you have after all four phases that the wide gate could never produce? Name it."
[WAIT — do not advance until user responds]
What ships with it
2 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 · 121 lines · 117 tokens per session scan A 18412b8752b9
narrow-gate-strategy is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 117 tokens to every session and 2,166 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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