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-strategy-plannergit 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-strategy-planner)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/linkedin-abm-strategy-planner"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-strategy-planner/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-strategy-planner"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/linkedin-abm-strategy-planner.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 | $0.00116 | $0.01876 |
| Opus 5 | $0.00058 | $0.00938 |
| Sonnet 5 | $0.00023 | $0.00375 |
| Haiku 4.5 | $0.00012 | $0.00188 |
Grade A, and why
linkedin-abm-strategy-planner 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn ABM strategy planner
Turn a short interview into a personalized, self-serve "[Company] LinkedIn ABM Strategy" — delivered as a branded HTML document that the user can read and download as PDF. This skill is prospect-facing and self-contained: never assume the company's numbers are already known. Ask for them (with sensible defaults), compute the plan, and generate the document.
Data note: this skill works best with the ZenABM connector (app.zenabm.com) — it pulls your real LinkedIn CPC/CTR, spend and audience size so the plan runs on live data. Without it, the skill uses the numbers you provide, falling back to clearly-labelled industry benchmarks.
Step 1 — Interview (few, fast questions)
Ask in small batches, offering the defaults as selectable options where the interface supports it, otherwise plain questions. Keep it light — most answers are a single number or line. Full wording, defaults and what each input powers are in the Questions reference.
Collect, per the model in the Formulas reference:
- Company website URL — you research this yourself (Step 2); do not make the user describe their product.
- ABM revenue goal + whether it's monthly (MRR) or annual (ARR) — per audience if they name more than one.
- Average contract value (ACV) — total contract value or MRR (you normalize).
- Close rate % (qualified → closed-won) — default 15%.
- Qualification rate % (demo → qualified) — default 75%.
- Landing-page conversion rate % (visit → booked demo/form) — default 0.8%.
- LinkedIn CPC ($) — default $8. Skip if the ZenABM connector is available — pull the real CPC instead.
- Planned monthly LinkedIn ads budget ($).
- Target audiences / markets in scope (geo + industry) — sets how many Campaign blocks. Seed from the website research, then confirm.
- Top jobs-to-be-done / use cases per audience + the core problem you solve — pre-fill from the research, let them edit. Powers the ad-content section.
What ships with it
4 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.
- 9d ago First seen · 112 lines · 116 tokens per session scan A 337c5aec0f66
linkedin-abm-strategy-planner is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 116 tokens to every session and 1,876 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 2026-09-03.
Other skills, from other repositories
b2b-marketing-playbook
Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.
abm-dev
Enrich B2B people and companies with abm.dev — verified work emails, LinkedIn profiles, firmographics, and AI research with a citation and confidence on every field. Use when the user needs contact data, company intelligence, email-finding, people search at target accounts, or CRM enrichment writeback.
bdr-enablement-generator
Generates account research briefs, personalized outreach sequences, persona-specific talk tracks, and objection handling frameworks for B2B SaaS BDR teams. Use when preparing BDR outreach for target accounts, building prospecting sequences, creating call scripts, developing objection responses, onboarding new BDRs, or…
competitive-battlecard-generator
Generates and maintains competitive battlecards from win/loss data, competitor intel, G2 reviews, and sales feedback. Use when building battlecards for a specific competitor, updating existing battlecards with new intel, preparing BDRs or AEs for competitive deals, analyzing win/loss patterns against a competitor, or…
marketing-ops-sop-generator
Generates standard operating procedures for B2B SaaS marketing operations: campaign naming conventions, UTM governance, tool administration, workflow QA, data hygiene, lead routing, and incident response playbooks. Use when setting up or auditing marketing ops processes, onboarding a new marketing ops hire…
abm-program-orchestrator
End-to-end ABM program design and orchestration for B2B SaaS mid-market and enterprise motions. Use when building a target account list, designing account tiering criteria, planning ABM channel orchestration, coordinating BDR outreach with marketing campaigns, defining ABM measurement frameworks, or running an ABM…