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 swan-gtm/gtm-skills --skill demand-lifecyclegit clone --depth 1 https://github.com/swan-gtm/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/swan-gtm/gtm-skills/demand-lifecycle)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/demand-lifecycle"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/demand-lifecycle/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/swan-gtm/gtm-skills/demand-lifecycle"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/demand-lifecycle.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 | $0.00036 | $0.01271 |
| Opus 5.5 | $0.00014 | $0.00508 |
| Sonnet 5.5 | $0.00007 | $0.00254 |
| Haiku 4.5 | $0.00004 | $0.00127 |
Grade A, and why
demand-lifecycle 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 1mo 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Demand Lifecycle
Overview
The Demand Lifecycle is a comprehensive framework for planning and executing B2B go-to-market programs across the entire buyer journey - not just up to conversion.
Why the 5-Stage Demand Engine?
The 5-Stage Demand Engine replaces traditional TOFU/MOFU/BOFU because the traditional funnel only plans up to conversion, but in B2B reaching all points in the buyer's journey matters. The 5-Stage Demand Engine plans across all lifecycle stages past initial conversion.
The 5-Stage Demand Engine
1. Create (Build brand affinity & trust)
Outcome: Build brand affinity & trust
Awareness Level: Unaware, Problem Aware
Offers: Educational content & thought leadership
Tactics: Boosting content with sponsored paid social ads
KPIs: Cost per consumption, blended cost per opportunity
2. Capture (Convert interest from in-market buyers)
Outcome: Convert interest from in-market buyers
Awareness Level: Solution Aware, Product Aware
Offers: Demo requests, free trials
Tactics: Bidding on high intent keywords, paid listings, retargeting
KPIs: Pipe-to-spend, direct cost per opportunity, ROI
3. Accelerate (Sales Led) / Activate (Product Led)
Outcome: Help sales close deals faster / get free users to convert
Awareness Level: Product Aware, Offer Aware
Offers: Testimonials, case studies, events, webinars
Tactics: Sponsored paid social ads
KPIs: Pipeline velocity, paid signups
4. Revive (Restart closed lost opportunities)
Outcome: Restart closed lost opportunities
Awareness Level: Offer Aware
Offers: Incentivized demo requests, guided trials
Tactics: LinkedIn conversation ads
KPIs: SQOs created, blended cpSQO
5. Expand (Drive revenue from existing customers)
Outcome: Drive revenue from existing customers
Awareness Level: Most Aware
Offers: Referral program, Certification program
Tactics: Sponsored newsletters/partnerships
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.
- 1mo ago First seen · 135 lines · 36 tokens per session scan A 173013758ce4
demand-lifecycle is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 1,271 once invoked, about $0.0001 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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