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 swan-gtm/gtm-skills --skill acquired-brand-gtm-integrationgit clone --depth 1 https://github.com/swan-gtm/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/swan-gtm/gtm-skills/acquired-brand-gtm-integration)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/acquired-brand-gtm-integration"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/acquired-brand-gtm-integration/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/swan-gtm/gtm-skills/acquired-brand-gtm-integration"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/acquired-brand-gtm-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.01160 |
| Opus 5 | $0.00033 | $0.00580 |
| Sonnet 5 | $0.00013 | $0.00232 |
| Haiku 4.5 | $0.00007 | $0.00116 |
Grade A, and why
acquired-brand-gtm-integration 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 9d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this when an acquisition creates pressure to integrate before demand, customer journeys, permissions, and systems are understood. It produces a decision record, risk map, and reversible sequence of GTM changes.
Establish the integration boundary
- Name the acquisition thesis in one sentence: distribution, product expansion, market entry, customer access, talent, or brand equity. Reject activities that do not support it.
- Inventory the demand system before changing it: domains, search and direct demand, forms, account paths, communications, pricing, records, attribution, partners, reviews, and campaigns.
- For every asset, record the current owner, system of record, audience, business value, failure impact, permission basis, and rollback path. Unknown is a valid status; assumed is not.
Do not treat legal ownership as proof that identities, consent, contracts, or customer expectations can be merged. The first integration output is a map of boundaries, not a rebrand plan.
Choose a brand posture
Assign one posture to each customer-facing surface:
- Retain: the acquired identity carries demand or trust worth protecting.
- Endorse: keep the identity but clarify the parent-company relationship.
- Absorb: migrate only when journeys, demand, promises, and data rights are preserved.
- Retire: remove only after traffic, customers, records, and obligations have verified destinations.
Apply posture per surface, not once for the whole acquisition. A product name may remain while billing identity, legal disclosure, analytics ownership, and sales operations change separately. Use references/brand-posture-decision-matrix.md when stakeholder preference outruns evidence.
Segment people before systems
Split records by relationship and permission before deduplication:
- active customers and contracted users;
- open opportunities with a named owner and next step;
- opted-in marketing contacts;
- historical leads without current permission;
- workers, applicants, suppliers, or partners whose relationship is not a sales lead.
What ships with it
4 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.
- 9d ago First seen · 90 lines · 66 tokens per session scan A 9e3f0090d99e
acquired-brand-gtm-integration is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 66 tokens to every session and 1,160 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 2026-09-03.
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