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 eliasstravik/gtm-skills --skill gtm-agentgit clone --depth 1 https://github.com/eliasstravik/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/eliasstravik/gtm-skills/gtm-agent)<a href="https://agentmods.dev/skills/eliasstravik/gtm-skills/gtm-agent"><img src="https://agentmods.dev/badge/skills/eliasstravik/gtm-skills/gtm-agent/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/eliasstravik/gtm-skills/gtm-agent"><img src="https://agentmods.dev/badge/skills/eliasstravik/gtm-skills/gtm-agent.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 | $0.00239 | $0.02412 |
| Opus 5.5 | $0.00096 | $0.00965 |
| Sonnet 5.5 | $0.00048 | $0.00482 |
| Haiku 4.5 | $0.00024 | $0.00241 |
Grade A, and why
gtm-agent 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 yesterday.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Agent
Trigger
Apply this skill when a request concerns getting GTM Agent deployed, connected, checked, or upgraded for an organization, or asks whether that is possible and what it needs, before anything is created.
Scope
One deployment is: a private copy of the agent template eliasstravik/gtm-agent as the repository gtm-agent-<slug>, deployed as the Vercel project gtm-agent-<slug>; a Slack connector slack/gtm-agent-<slug> installed in the organization's Slack; the workspace repository gtm-<slug>; and, when workflows are enabled, the workflow project gtm-<slug> that gtm-workflow's shared setup --deploy takes live (project, Neon, share project, secrets, the first push of workflows/) and wires to this agent, which agent setup runs as its last step. The scripts in scripts/ use the GitHub and Vercel CLIs; references/setup.md lists what setup creates. Connection names come from the Vercel Secret Note or local label, following Connections naming. The agent remains optional for that setup. The workspace's contents belong to the other gtm skills.
Inputs
The request; the organization's workspace slug (the contract's slug rule; from an existing ~/.gtm/<slug>/ when one exists); the Vercel team slug (vercel teams ls; ask when more than one); the GitHub owner (the signed-in user unless the request names an organization); optionally a Slack channel id (C0…, at the bottom of a channel's About tab) for workflow notifications; references/setup.md.
Roles
The user has the GitHub and Vercel CLIs signed in on this computer, authorizes the Slack install when required, either directly or through their authorized browser agent, adds the Neon database to the workflow project through Vercel's Neon integration (Production only, preview branching off) and accepts Neon's marketplace terms the first time a team uses it, invites the bot to a channel, and says the first sentence in Slack; the agent runs the scripts, relays exactly what the user must do, and reports the outcome.
What ships with it
12 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.
- references/interactions.md 3.5 KB
- references/setup.md 5.2 KB
- references/slack.md 3.9 KB
- scripts/configure-slack.mjs 2.1 KB runs code
- scripts/doctor.mjs 12 KB runs code
- scripts/lib.mjs 7.6 KB runs code
- scripts/setup.mjs 12 KB runs code
- scripts/slack-config.mjs 3.3 KB runs code
- scripts/slack-live-check.mjs 1.1 KB runs code
- tests/doctor.test.mjs 3.0 KB runs code
- tests/routing-eval.mjs 6.6 KB runs code
- tests/slack-config.test.mjs 2.3 KB runs code
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.
- yesterday Changed abbe7e142749
- 2d ago Changed 0df5d97cdf40
- 9d ago Changed 8c0a17d147f6
- 16d ago Changed ae80c24a9e06
- 17d ago Changed 422dfd684363
- 18d ago Changed · +3 lines · +63 tokens per session 9fb5253a969a
- 19d ago Changed · -4 lines · +1 tokens per session 139cca9f9901
- 20d ago Changed · +1 lines 43f3351aee95
- 21d ago Changed 74de00c6745a
- 26d ago First seen · 61 lines · 175 tokens per session scan A 70e4b0f7ffa3
gtm-agent is a skill published in the GitHub repository eliasstravik/gtm-skills (19 stars, last pushed yesterday), licensed MIT. It adds 239 tokens to every session and 2,412 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-09-15.
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