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 1-to-1-abm-adsgit 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/1-to-1-abm-ads)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/1-to-1-abm-ads"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/1-to-1-abm-ads/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/1-to-1-abm-ads"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/1-to-1-abm-ads.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 | $0.00061 | $0.00717 |
| Opus 5 | $0.00030 | $0.00358 |
| Sonnet 5 | $0.00012 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
1-to-1-abm-ads 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Run 1:1 ABM Ads on LinkedIn
Use this when: you need to run 1:1 ABM (Account-Based Marketing) ads on LinkedIn - paid ads aimed one company at a time: a named list of individual companies (one ad set per company), each audience sized and narrowed to the buyers, with personalized single-image ads that link to an asset built for that account. Self-contained; start here.
Read README.md for the full end-to-end walkthrough. This file is the one-screen index.
The pipeline (each step → its doc + its script)
| # | Step | Do it with | Read |
|---|---|---|---|
| 0 | Understand strategy + build procedure | - | sops/01-abm-strategy.md, sops/03-build-and-launch-sop.md |
| 1 | Resolve companies → org URNs → audience size → runnable (≥300) | scripts/resolve_and_size.py |
sops/02-audience-sizing.md |
| 2 | Narrow each audience to the target band (>300, ideally 300-1,000) | scripts/narrow_audience.py |
sops/04-audience-narrowing-sop.md |
| 3 | Write the copy (creative / commentary / landing page) | - | sops/03-build-and-launch-sop.md → "Writing copy" |
| 4 | Generate personalized creatives (gpt-image-2) | scripts/render_creatives.py |
sops/05-ad-creative-skill.md, sops/06-image-generation-skill.md |
| 5 | Build the campaign DRAFT (group + ad sets + conversions + UTMs + ads) | scripts/build_campaign.py |
sops/03-build-and-launch-sop.md (Phases 1-7) |
| 6 | QA + activate (explicit go) | scripts/build_campaign.py (verify) |
sops/03-build-and-launch-sop.md (Phase 7) |
Setup
python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt, then
cp scripts/env.example.txt scripts/.env and fill LINKEDIN_ACCESS_TOKEN + OPENAI_API_KEY.
Rules that never bend
- Create everything DRAFT (no spend). Activation is separate + explicit.
- Never delete via API without a fresh human "CONFIRM DELETE".
- Never fabricate ad copy/numbers - trace every word to the landing page.
- Target band: >300, ideal 300-1,000, ≤~1,200 fine, trim hard if >2,000. Entry-level ≤5%.
- Secrets live in
scripts/.envonly - shareenv.example.txt, never.env.
What ships with it
16 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.
- config/account_list.example.csv 215 B
- config/build_config.example.json 1.7 KB
- config/narrow_config.example.json 737 B
- README.md 9.6 KB
- requirements.txt 362 B
- scripts/build_campaign.py 18 KB runs code
- scripts/env.example.txt 459 B
- scripts/narrow_audience.py 12 KB runs code
- scripts/render_creatives.py 6.6 KB runs code
- scripts/resolve_and_size.py 6.3 KB runs code
- sops/01-abm-strategy.md 13 KB
- sops/02-audience-sizing.md 16 KB
- sops/03-build-and-launch-sop.md 24 KB
- sops/04-audience-narrowing-sop.md 8.6 KB
- sops/05-ad-creative-skill.md 10 KB
- sops/06-image-generation-skill.md 37 KB
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 · 43 lines · 61 tokens per session scan A 256d79fd2402
1-to-1-abm-ads is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 717 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 2026-09-03.
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