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 Zevenue/headless-gtm --skill run-first-campaigngit clone --depth 1 https://github.com/Zevenue/headless-gtmWrote 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/zevenue/headless-gtm/run-first-campaign)<a href="https://agentmods.dev/skills/zevenue/headless-gtm/run-first-campaign"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/run-first-campaign/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/zevenue/headless-gtm/run-first-campaign"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/run-first-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00210 | $0.01470 |
| Opus 5 | $0.00105 | $0.00735 |
| Sonnet 5 | $0.00042 | $0.00294 |
| Haiku 4.5 | $0.00021 | $0.00147 |
Grade A, and why
run-first-campaign 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 12d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run your first campaign
The cold-start workflow: an owner or founder with no list, no CRM, and no campaign history, taken from "here's my business" to an approved campaign sheet. It chains existing skills in a fixed order with an explicit owner approval between steps. Nothing in this repo sends email - the end state is a drafted 3-email sequence plus a campaign sheet (owner-readable Markdown and a HubSpot-import-shaped CSV) the owner approves on screen.
Chain mechanics follow the router's conventions: each component skill runs by
its own SKILL.md, writes into ./runs/ under its own step-prefixed run-id, and
hands records.jsonl to the next step by explicit path.
Step 1 - Business context
Check for context/offer.md and context/icp.md. If both exist, summarize
them in two sentences and confirm they still describe the business. If either
is missing, offer two paths: the closest vertical preset from
reference/presets/ (fastest - adopt the archetype, then adjust it together)
or the full gtm-context interview. Write the result to context/. Wait for
the owner to confirm the context before anything else runs.
Step 2 - Source of record
Where these buyers are already listed depends on the ICP. Read the confirmed context and propose the matching source, by name:
- Local, licensed, or physical-presence businesses (contractors, clinics, dealerships, brokerages, restaurants) live in a public directory - a licensing registry, a professional college, a trade-association "find a member" directory, a marketplace, with 02-apify-maps-discover as the fallback when no structured source exists. These extract via 03 (below).
- Firmographic B2B (software, agencies, funded or hiring companies) has no directory to scrape - the buyer is defined by what the company is. Pull the list instead: 01-prospeo-discover for an ICP-filtered pull, 01-prospeo-lookalike when the owner can name a few good-fit companies, or 04-theirstack-jobs when a hiring signal defines the buyer.
What ships with it
7 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.
- 12d ago First seen · 124 lines · 210 tokens per session scan A d31745a7894c
run-first-campaign is a skill published in the GitHub repository Zevenue/headless-gtm (28 stars, last pushed 1mo ago), licensed MIT. It adds 210 tokens to every session and 1,470 once invoked, about $0.0011 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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