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 meta-offer-strategygit 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/meta-offer-strategy)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/meta-offer-strategy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/meta-offer-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/swan-gtm/gtm-skills/meta-offer-strategy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/meta-offer-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 | $0.00043 | $0.02460 |
| Opus 5.5 | $0.00017 | $0.00984 |
| Sonnet 5.5 | $0.00009 | $0.00492 |
| Haiku 4.5 | $0.00004 | $0.00246 |
Grade A, and why
meta-offer-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 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offer Strategy for B2B Meta Ads - High-ACV ($30K+)
What offers to use at each funnel stage when selling B2B SaaS and B2B tech with $30K+ ACV on Meta. Your ads will never outperform a bad offer - this is the #1 lever for campaign success.
Why Offers Matter More Than Ads
Meta is a discovery platform, not a search engine. People are scrolling, not shopping. Unlike Google (where users actively search for solutions), Meta users are in passive mode. Your offer must:
- Match the prospect's awareness stage - not what you want them to do, but what they're ready to do
- Justify the micro-commitment - they're giving you their email/time in exchange for something
- Create urgency - specificity creates urgency by proxy ("Fix your pipeline leak in 60 days" beats "Improve your pipeline")
The core rule: You cannot sell a $30K+ contract from a cold Meta ad. You sell the click. The landing page sells the next step. The next step sells the meeting. The meeting sells the deal. Each step only needs to earn the NEXT step.
Why Demo Requests Fail on Cold Meta Traffic
For high-ACV B2B ($30K+), demo requests on cold traffic consistently underperform because:
| Problem | Why It Happens |
|---|---|
| Intent mismatch | Meta = discovery mode. Google = "I'm ready to buy" mode. Cold prospects aren't solution-shopping yet. |
| Commitment too high | A demo asks for 30-60 min with a stranger. For a $30K decision with procurement, legal, and 3 stakeholders - nobody impulse-books that. |
| Sales cycle mismatch | $30K+ ACV = 3-9 month sales cycle. You're asking for a step-10 action at step 1. |
| Low volume for optimization | Few cold prospects convert to demo → Meta can't optimize → CPA spirals. |
Exception: Demo requests CAN work for:
- Retargeting warm audiences (website visitors, content consumers, webinar attendees)
- SMB/low-ACV ($5K-$15K) where the decision is simpler and faster
- Very hot intent signals (pricing page visitors, competitor comparison searchers)
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 · 185 lines · 43 tokens per session scan A 5882f6ffc576
meta-offer-strategy is a skill published in the GitHub repository swan-gtm/gtm-skills (221 stars, last pushed 8d ago), licensed MIT. It adds 43 tokens to every session and 2,460 once invoked, about $0.0002 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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