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 demand-leadershipgit 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/demand-leadership)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/demand-leadership"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/demand-leadership/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/demand-leadership"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/demand-leadership.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 | $0.00112 | $0.01903 |
| Opus 5 | $0.00056 | $0.00951 |
| Sonnet 5 | $0.00022 | $0.00381 |
| Haiku 4.5 | $0.00011 | $0.00190 |
Grade A, and why
demand-leadership 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 11d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demand Leadership
Overview
The highest-value market position is not to fulfill demand but to define it — to become the entity whose framing of the problem the customer adopts as their own. Three stages: 1 — Insight Generation ("this vendor understands my problem better than I do") → 2 — Value Reconstruction ("this vendor has redefined how I think about it") → 3 — Scene Creation ("I go to this vendor before I decide, not after").
Stop-rule: Stage 3 = customer asks your opinion before deciding. Cross-skill: use after customer-relationship-ladder + jobs-to-be-done; alongside north-star-metric; instead of first-principles for positioning tasks.
When to Use
Use when: customers evaluate on price/features; sales driven by customer-initiated RFPs; strong product losing to weaker competitors with stronger "thought leadership"; no distinctive problem framing competitors don't share; new market entry or post-PMF commoditization risk.
Do NOT use when: commodity markets with regulation-fixed problem definitions; pre-Stage-1 companies with no customer intelligence; consumer mass markets (use social-proof + anchoring first).
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete case → run The Process directly.
- Coach mode: unfamiliar → 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.
- Ask: "What do your best customers realize about their problem after working with you that they didn't before?" Cannot answer → Stage 1.
- Ask: "If you and your top competitor each had 10 minutes to describe the customer's problem, how would the descriptions differ?" Substantially similar → Stage 1.
- Ask: "At what point in the customer's decision process do they first contact you?" RFP stage → Stage 1. Problem-definition → Stage 2. Pre-problem → Stage 3.
[WAIT — do not advance until user responds]
- Ask: "Is there a specific workflow where your product is the starting point, not a reference?" Yes → Stage 3 evidence. No → identify target scene.
[WAIT — do not advance until user responds]
- Name one Stage-up move executable in 60 days with named owner and behavioral success indicator.
[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.
- 11d ago First seen · 122 lines · 112 tokens per session scan A 63aa2fdd1c7e
demand-leadership is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 9d ago), licensed MIT. It adds 112 tokens to every session and 1,903 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 2026-08-31.
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