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 linkedin-abm-1to1-few-manygit 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/linkedin-abm-1to1-few-many)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many/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/linkedin-abm-1to1-few-many"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-1to1-few-many.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 | $0.00071 | $0.02833 |
| Opus 5 | $0.00036 | $0.01417 |
| Sonnet 5 | $0.00014 | $0.00567 |
| Haiku 4.5 | $0.00007 | $0.00283 |
Grade A, and why
linkedin-abm-1to1-few-many 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 9d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn 1:1 / 1:few / 1:many ABM
The account-based advertising skill for LinkedIn - how to run 1:1 (single whale account), 1:few (named account lists), and 1:many (vertical/segment) campaigns, including personalized 1:1 ad creative.
Core Principle
ABM campaigns are not just about targeting your ideal accounts - they are about reaching them. A perfectly targeted list that only reaches 15% of its companies is wasting 85% of its potential.
ABM Campaign Types
| Type | Accounts | Targeting Method | Best For |
|---|---|---|---|
| 1:1 | Single company | Add company name directly to targeting | Whale accounts, strategic deals |
| 1:few | Up to 10-20 companies | Company list upload | Named account programs |
| 1:many | Multiple companies (industry, segment) | Company list or native targeting | Vertical campaigns, segment-level ABM |
1:1 campaigns: Simply add the company name to your targeting. The simplest approach, but only works for large enough companies with enough LinkedIn members.
1:few and 1:many campaigns: Use list-based targeting for better optimization and performance tracking. You can technically add companies one by one, but lists unlock better analytics.
Lists: Company vs Contact
Company Lists (Recommended)
Company lists are generally preferred for ABM campaigns for three reasons:
- Easier to obtain - Contact lists require accurate business emails that match LinkedIn profiles
- Better matching - LinkedIn matches company names more reliably than individual email addresses to profiles
- Less maintenance - People constantly leave and join companies; company lists stay relevant longer
Contact Lists
Contact lists can still be useful when you have a clear identification of the best people to reach at target companies. They allow more precise targeting of specific roles within accounts.
When to use contact lists:
- You have verified, high-quality business email lists
- You need to reach very specific individuals (e.g., named decision-makers)
- Your ABM motion requires person-level targeting
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.
- 9d ago First seen · 255 lines · 71 tokens per session scan A bd9492a1cabb
linkedin-abm-1to1-few-many is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 2,833 once invoked, about $0.0004 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 2026-09-03.
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