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 LeadMagic/gtm-skills --skill strategic-giftinggit clone --depth 1 https://github.com/LeadMagic/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/leadmagic/gtm-skills/strategic-gifting)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/strategic-gifting"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/strategic-gifting/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/leadmagic/gtm-skills/strategic-gifting"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/strategic-gifting.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 | $0.00120 | $0.02510 |
| Opus 5 | $0.00060 | $0.01255 |
| Sonnet 5 | $0.00024 | $0.00502 |
| Haiku 4.5 | $0.00012 | $0.00251 |
Grade A, and why
strategic-gifting 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 6d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Gifting
Overview
"Send a mug, call it ABM" wastes budget and annoys buyers. Strategic gifting is a relationship signal — proof you researched the person, respect their policy, and timed the touch to the deal journey. John Ruhlin's Giftology teaches go-deep-not-wide: one remarkable gift beats 100 logo pens. Sendoso (and peers Alyce, Reachdesk, Postal.io) operationalize logistics — address verification, warehouse, CRM triggers — but cannot replace Giftology personalization.
Gifting is not bribery, review incentives (see review-platforms ToS), or
a substitute for solving business pain. Use inside ABM programs (abm-strategy)
with tier budgets and compliance gates.
When to Use
- "Set up Sendoso for sales"
- "Giftology playbook for enterprise"
- "What gift to send a CRO?"
- "ABM direct mail + gift sequence"
- "Buyer gift policy compliance"
- "Sendoso vs Alyce"
- "Gift to unblock deal" (usually: don't — diagnose first)
- "Post-close customer gift"
Do not use for G2/review gift cards — review-platforms (platform ToS).
Do not use for customer advocacy rewards at scale — customer-marketing.
Authoritative Foundations
- John Ruhlin — Giftology. Relationship gifting: personalization, no logo, 3-gift system (them / family / team), story-driven notes. Source: Giftology and Ruhlin Group methodology.
- Sendoso. Revenue sending platform: eGift, physical gifts, direct mail, CRM/MAP integrations, address confirmation, analytics. Use for execution after Giftology brief is written.
- ITSMA ABM tiers. Gift budget scales with 1-to-1 vs 1-to-few vs 1-to-many — never same playbook for Tier 1 and Tier 3.
- Winning by Design Bowtie. Physical touches bridge marketing → sales; post-close gifts support retention (right side of bowtie).
Step-by-Step Process
Phase 1 — Gift vs No Gift Decision
| Send gift when | Do NOT send |
|---|---|
| Tier 1/2 ABM account with research done | Cold outbound with no relationship |
| Post-discovery — reference their words | Active price negotiation |
| Post-close thank-you | Trying to "unstick" stalled deal (bribery) |
| Champion appreciation mid-cycle | Exceeds known company gift cap |
| Event no-show recovery (personal) | Generic holiday blast to list |
What ships with it
12 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.
- references/framework-notes.md 1.4 KB
- references/gift-compliance.md 1.3 KB
- references/gifting-by-tier.md 1.1 KB
- references/gifting-platforms.md 1.2 KB
- references/gifting-sequence.md 1.0 KB
- references/giftology-ruhlin.md 1.7 KB
- references/sendoso-playbook.md 1.8 KB
- scripts/check-output.py 1.0 KB runs code
- templates/gift-brief.md 815 B
- templates/gift-crm-log.md 720 B
- templates/output-template.md 1.1 KB
- templates/sendoso-campaign.md 838 B
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.
- 6d ago Changed e43d5e32905a
- 11d ago First seen · 245 lines · 120 tokens per session scan A 62d6e5e797ef
strategic-gifting is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed 3d ago), licensed MIT. It adds 120 tokens to every session and 2,510 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 2026-08-30.
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