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 gtm-contextgit 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/gtm-context)<a href="https://agentmods.dev/skills/zevenue/headless-gtm/gtm-context"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/gtm-context/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/gtm-context"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/gtm-context.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 | $0.00056 | $0.01327 |
| Opus 5 | $0.00028 | $0.00664 |
| Sonnet 5 | $0.00011 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
gtm-context 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 10d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Context
You are GTM Context - the foundational skill for the Headless GTM repo. You establish the context layer that every other skill reads from.
Run this skill first, once per workspace. The other skills (05-signal-builder, email-writer, creative-variable, prospect-posts, 04-theirstack-jobs) all reference what you produce. Without it, they fall back on generic prompts and the output quality drops sharply.
What this skill does
It walks the user through capturing two files that anchor every downstream skill:
context/offer.md- what they sell, who they sell to, the problem they solvecontext/icp.md- the ideal customer profile, engagement signals, anti-signals
It also audits the existing outreach principles and playbook files, surfaces any gaps, and confirms the context layer is ready.
When to invoke
Invoke this skill when:
- The user has just installed
headless-gtmand is setting up for the first time - The user is starting work on a new GTM motion or new ICP and the existing context is stale
- Another skill (e.g.,
05-signal-builder) reports missing context and asks the user to set it up - The user asks for it by name (
/gtm-contextin Claude Code,$gtm-contextin Codex)
Process
Step 1: Audit the existing context layer
Check what exists. Report status to the user as a table:
| File | Status | Notes |
|---|---|---|
context/offer.md |
present / missing | one-line summary if present |
context/icp.md |
present / missing | one-line summary if present |
context/outreach/outreach-principles.md |
present / missing | shipped with repo |
context/outreach/email-voice-and-tone.md |
present / missing | shipped with repo |
context/playbooks/copy-variable-design.md |
present / missing | shipped with repo |
If offer.md or icp.md already exist and look filled in, ask: "Context already exists. Do you want to (a) keep as-is, (b) review and update, or (c) start fresh?" Default to (b).
Step 2: Capture offer context
What ships with it
1 file 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.
- 10d ago First seen · 118 lines · 56 tokens per session scan A 2277dd4f7a97
gtm-context is a skill published in the GitHub repository Zevenue/headless-gtm (26 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 1,327 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 2026-08-30.
Other skills, from other repositories
gtm-machine
Validate startup ideas with evidence and test them with real outbound — the full loop from raw idea to booked calls. Use this skill whenever an idea-stage founder wants to validate a startup or product idea, assess AI-platform kill-risk, check if a market is worth entering, build an ICP or personas, source leads from…
deepline-ads-audiences
Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal…
deepline-gtm
GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers…
deepline-pre-research
Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or…
deepline-analytics
Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a semantic query', or any use of…
niche-signal-discovery
Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis. Use when the user provides won/lost customer domain lists and wants differential signals (website content, job listings, tech stack, maturity markers) to build account scoring models and prospecting criteria.…