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 adaptico/adaptico-os --skill gtm-brandgit clone --depth 1 https://github.com/adaptico/adaptico-osWrote 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/adaptico/adaptico-os/gtm-brand)<a href="https://agentmods.dev/skills/adaptico/adaptico-os/gtm-brand"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-brand/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/adaptico/adaptico-os/gtm-brand"><img src="https://agentmods.dev/badge/skills/adaptico/adaptico-os/gtm-brand.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 | $0.00169 | $0.08298 |
| Opus 5 | $0.00084 | $0.04149 |
| Sonnet 5 | $0.00034 | $0.01660 |
| Haiku 4.5 | $0.00017 | $0.00830 |
Grade C, and why
gtm-brand scanned grade C with 1 finding 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 11d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
> Then generate the work anyway - never refuse. How it starts
The opening of the file, as written. The whole thing — 651 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice Analysis and Guidelines Generation
Default lens: a SaaS / AI software startup. Advise a technical founder marketing their own modern software product (SaaS, AI/API, dev tool, or app). Tailor every recommendation to that reader.
Stage-fit (
brand): Tier 1 Too early · Tier 2 Too early · Tier 3 Useful. If the founder's tier (from PROFILE.md) makes this Too early or Avoid, prepend this note verbatim: "A brand book (voice, tone, messaging) is a scale concern, not a survival one - it's wasted while your ICP is still moving. A one-line voice rule is plenty for now." Then generate the work anyway - never refuse.
Full persona and general guidance: read
../gtm/templates/advisor-prompt.md(installed with the gtm orchestrator); if the file is absent, continue with the default lens above.
Bundled scripts: the
node .claude/skills/...commands below assume the per-project copy path. When that path doesn't exist (a plugin install, or another agent's skills directory), the scripts sit beside this skill - resolve each path relative to this skill's own folder before running.
Skill Purpose
Analyze a brand's voice, tone, and messaging across all available channels and generate a comprehensive brand voice guidelines document. This skill examines how a brand communicates, identifies patterns and inconsistencies, and produces actionable guidelines that any writer or marketer can follow to maintain brand consistency.
The guide is not just a report: with a profile loaded, its essentials are distilled into brand-voice.md at the project root - a fixed-format voice guide the writing commands (copy, copyedit, social, outreach, emails, pricing, ads, leadmagnet, content, article, repurpose, changelog, audit, geo, humanize) read automatically, so the documented voice governs everything written after this run.
When to Use
- User wants to understand or document a brand's voice
- User needs brand voice guidelines for a team, freelancers, or agency
- User wants to ensure consistency across marketing channels
- User is rebranding or refining their brand identity
- User wants to compare their brand voice to competitors
- Triggered by
/gtm brand <target>or/gtm brand
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.
- 11d ago First seen · 651 lines · 169 tokens per session scan C e8795ba40046
gtm-brand is a skill published in the GitHub repository adaptico/adaptico-os (18 stars, last pushed 24d ago), licensed MIT. It adds 169 tokens to every session and 8,298 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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