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 abm-1-to-fewgit 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/abm-1-to-few)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/abm-1-to-few"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/abm-1-to-few/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/abm-1-to-few"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/abm-1-to-few.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 | $0.00066 | $0.01588 |
| Opus 5 | $0.00033 | $0.00794 |
| Sonnet 5 | $0.00013 | $0.00318 |
| Haiku 4.5 | $0.00007 | $0.00159 |
Grade A, and why
abm-1-to-few 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 7d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ABM 1-to-Few (Scale)
Overview
ABM at Scale for 15-50 accounts clustered by industry, use case, or buying trigger. Not fully custom like 1-to-1, but not automated like 1-to-many. This is the sweet spot where you get 80% of 1-to-1 results at 20% of the effort — if you cluster correctly and build semi-custom assets that feel personalized.
Authoritative Foundations
- TOPO ABM Scale Framework — Named methodology governing recommendations in this skill's process.
- Force Management MEDDICC — Command of the Message — persona-specific value narrative and differentiation per stakeholder.
- ITSMA — Account-Based Marketing — Tier-based ABM (1:1 / 1:few / 1:many); measure pipeline from target accounts, not lead volume.
When to Use
- "Build ABM at scale"
- "Create industry cluster ABM"
- "Semi-custom ABM campaigns"
- "Scale our ABM beyond named accounts"
Step-by-Step Process
Phase 1: Account Clustering
Group accounts by commonality:
- Industry cluster: All fintech, all healthcare, all manufacturing
- Use case cluster: All companies buying for pipeline gen, all buying for enrichment
- Trigger cluster: All companies that just raised, all with new CRO, all hiring RevOps
- Tech stack cluster: All on Salesforce, all on HubSpot, all running Clay
- Competitor cluster: All current users of a specific competitor
Phase 2: Cluster-Specific Campaign Design
Per cluster, build:
- Pain point narrative: Industry-specific challenge, regulatory pressure, market shift
- Proof points: 2-3 case studies from the same industry/use case
- Persona messaging: CFO, CRO, VP Sales, RevOps — each gets industry-contextualized value prop
- Objection library: The top 5 objections specific to this cluster
Phase 3: Semi-Custom Assets
- Industry landing page: Variant of your homepage with industry-specific hero/social proof
- Cluster email sequence: 5-touch sequence with industry-specific openers + proof
- LinkedIn content calendar: 4-week cadence tailored to cluster themes
- Cluster webinar: Industry panel or use case deep-dive
- Direct mail / gifts: Physical asset (book, report) — coordinate via
strategic-gifting(Sendoso/Postal); no logo swag
What ships with it
3 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.
- 7d ago Changed e0049162a291
- 11d ago First seen · 142 lines · 66 tokens per session scan A 226cb4dcea64
abm-1-to-few is a skill published in the GitHub repository LeadMagic/gtm-skills (49 stars, last pushed 4d ago), licensed MIT. It adds 66 tokens to every session and 1,588 once invoked, about $0.0003 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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