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-ads-abm-guidegit 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-ads-abm-guide)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/linkedin-ads-abm-guide"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-ads-abm-guide/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-ads-abm-guide"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-ads-abm-guide.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 | $0.00038 | $0.03150 |
| Opus 5 | $0.00019 | $0.01575 |
| Sonnet 5 | $0.00008 | $0.00630 |
| Haiku 4.5 | $0.00004 | $0.00315 |
Grade A, and why
linkedin-ads-abm-guide 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Ads for ABM - Guide
Ad formats, budget math, campaign structure, performance benchmarks, and optimization for Account-Based Marketing on LinkedIn.
Why LinkedIn for ABM
- Best professional targeting: Filter by company, title, seniority, industry, function - no other platform matches this precision for B2B.
- Company list targeting: Upload company lists from CRM → target specific accounts (minimum 300 matched members to run).
- Persona filtering on company lists: Push company lists, then use LinkedIn's native filters to target specific personas within those accounts.
- ABM-native: LinkedIn is where B2B decision-makers live. Your target accounts are already there.
Limitation: Google Display match rates are too low for B2B (nobody uses work emails on Google accounts). LinkedIn is the primary ABM channel. Google Display can supplement via retargeting on a separate no-index landing page domain.
LinkedIn Ad Formats for ABM
Format Overview and Performance
| Format | CTR | CPC | Best For | ABM Stage |
|---|---|---|---|---|
| Single Image Ads | 0.35-0.45% | $8-19 | Highest CTR, lowest CPC. Primary workhorse. | All stages |
| Thought Leader Ads (TLAs) | ~4-5%* | ~$60-70* | Top-of-funnel awareness, events, webinars. Runs on an engagement objective, so this is an engagement rate (read-more, reactions, profile clicks, tags) - NOT a click-through-rate to a landing page. Do not compare it to a website-visits CTR. | Awareness |
| Carousel Ads | Moderate | ~$8-12 | Multi-feature showcases, comparison content | Interested |
| Video Ads | ~0.3% | ~$20-25 | Brand awareness, product demos, case studies | Awareness → Interested |
| Text Ads | Very low | Negligible | Cheap brand impressions. Few clicks. | Awareness (background) |
| DM/Message Ads | Low | Very expensive | Direct offers. Extremely high CPC. Not recommended for scale. | Considering (sparingly) |
| Document Ads | Moderate | Moderate | Lead magnets, guides, reports | Interested |
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 · 289 lines · 38 tokens per session scan A 6ba804d31a4b
linkedin-ads-abm-guide is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 3,150 once invoked, about $0.0002 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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