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 personalization-playbooksgit 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/personalization-playbooks)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/personalization-playbooks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/personalization-playbooks/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/personalization-playbooks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/personalization-playbooks.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 | $0.00054 | $0.00888 |
| Opus 5.5 | $0.00022 | $0.00355 |
| Sonnet 5.5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
personalization-playbooks 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 1mo 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personalization Playbooks
Camp Personalization Playbook (Manual/High-Touch)
INBOUND
First Line: Trigger-Based Relevance ONLY
Second Line: CTA to Book Time (Optional: Core-Static Relevance)
Example:
Thanks for downloading the Cold Email Playbook.
Got 15 minutes to discuss how to apply it at {{company}}?
POSTBOUND/BRIDGEBOUND
First Line: Trigger-Based Relevance + ("but more importantly") Personalization
Second Line: Personalization "Hook" + Core-Static Relevance
Example:
Saw you attended our webinar on signal-based outbound—but more importantly, your recent post about "outbound being dead" caught my attention.
You mentioned reply rates dropping below 1%. We've been helping B2B SaaS companies hit 15%+ with signal-first targeting.
Worth a quick chat?
OUTBOUND
First Line: Personalization Title or Summary + Personalization Excerpt
Second Line: Personalization "Hook" + Core-Static Relevance
Example:
Your post on SDR burnout—specifically the line "throwing bodies at the problem doesn't scale"—resonated.
We work with SaaS companies doing $5-20M who've hit that wall. Most are shifting from volume to signal-based.
Curious if that's on your radar?
Camp No Personalization Playbook (Automated/Scale)
INBOUND
First Line: Trigger-Based Relevance ONLY
Second Line: CTA to Book Time (Optional: Core-Static Relevance)
Example:
Thanks for requesting a demo.
Let's find 15 minutes to walk through how {{product}} works for {{industry}} companies.
[Calendar link]
POSTBOUND/BRIDGEBOUND
First Line: Trigger-Based Relevance
Second Line: Core-Static Relevance
Example:
Noticed you've been checking out our pricing page.
We work with B2B SaaS companies doing $5-20M ARR on outbound.
Worth a quick call to see if there's a fit?
OUTBOUND
First Line: Core-Static Relevance (Lean on Pattern Interruptive Opener)
Second Line: Core-Static Relevance ("We work with...")
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.
- 1mo ago First seen · 145 lines · 54 tokens per session scan A 42646a4984b7
personalization-playbooks is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 888 once invoked, about $0.0002 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 2026-08-30.
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