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.
git clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/commands/gtmagents/gtm-agents/define-brand-platform)<a href="https://agentmods.dev/commands/gtmagents/gtm-agents/define-brand-platform"><img src="https://agentmods.dev/badge/commands/gtmagents/gtm-agents/define-brand-platform/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/commands/gtmagents/gtm-agents/define-brand-platform"><img src="https://agentmods.dev/badge/commands/gtmagents/gtm-agents/define-brand-platform.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 | $0.00019 | $0.00380 |
| Opus 5 | $0.00010 | $0.00190 |
| Sonnet 5 | $0.00004 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
define-brand-platform 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.
What it actually says
Command: define-brand-platform
Inputs
- audience – primary audience or segment focus (enterprise, smb, developer, partner).
- proof – comma list of proof asset types to highlight (kpi, customer, analyst, product, roadmap).
- format – deck | narrative | workspace.
- constraints – optional guardrails (legal, regulatory, naming, localization).
- references – URLs/docs of existing research, messaging, or campaigns.
Workflow
- Discovery Alignment – absorb research, GTM goals, competitive narratives.
- Narrative Drafting – craft purpose, promise, pillars, RTBs, and tone guidance.
- Proof Mapping – align customer stories, metrics, product proof to each pillar.
- Validation & Iteration – gather feedback from execs, product, sales, customers.
- Rollout Plan – define enablement, asset updates, KPIs, and governance owners.
Outputs
- Brand platform deck/narrative with positioning statements, pillars, and messaging matrix.
- Proof asset map referencing customers, metrics, analysts, and demos.
- Rollout & adoption plan with milestones, owners, and success metrics.
Agent/Skill Invocations
brand-foundation-architect– leads narrative + stakeholder alignment.brand-governance-lead– ensures compliance and rollout processes.brand-narrative-playbookskill – enforces template + voice guardrails.brand-voice-glossaryskill – codifies tone, vocabulary, and localization notes.
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 · 35 lines · 19 tokens per session scan A 868d5099eda4
define-brand-platform is a command published in the GitHub repository gtmagents/gtm-agents (398 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 380 once invoked, about $0.0001 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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specify
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converge
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implement
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