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-hooksgit 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-hooks)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/personalization-hooks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/personalization-hooks/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-hooks"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/personalization-hooks.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 | $0.00051 | $0.00695 |
| Opus 5.5 | $0.00020 | $0.00278 |
| Sonnet 5.5 | $0.00010 | $0.00139 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
personalization-hooks 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personalization Hooks to Relevance
Strong Hook (Verbatim Tie)
Direct quote or reference from their content.
Pattern:
"In your recent [content type] about [topic], you mentioned [direct quote]..."
Examples:
In your recent post about SDR burnout, you mentioned "the biggest issue is lack of quality leads"...
In your podcast episode on scaling sales, you said "we struggled with pipeline predictability until..."
Your article on RevOps made a point about "data silos killing deal velocity"...
When to use:
- High-value prospects
- Enterprise accounts
- When you have strong content to reference
Lite Hook (Conceptual Tie)
Reference the theme/topic without direct quote.
Pattern:
"I noticed you're focused on [theme/topic]..."
Examples:
I noticed you're focused on scaling your SDR team...
Saw you've been posting about RevOps challenges...
Looks like pipeline predictability is a priority for you...
When to use:
- Higher volume outreach
- When content isn't quotable
- Time-constrained personalization
Hook Selection Framework
| Situation | Hook Type | Effort |
|---|---|---|
| Enterprise $100K+ deal | Strong Hook | High |
| Mid-market $25-100K | Either | Medium |
| SMB/Volume play | Lite Hook | Low |
| Champion already exists | Lite Hook | Low |
| Competitive displacement | Strong Hook | High |
Hook Integration Examples
Strong Hook + Relevance:
In your recent post about outbound being "broken," you mentioned cold emails getting <1% reply rates.
We've been helping teams like [similar company] hit 15%+ by focusing on signal-based targeting instead of volume.
Worth comparing notes?
Lite Hook + Relevance:
Noticed you're scaling the BDR team at {{company}}.
Most BDR leaders I talk to are dealing with ramp time and pipeline quality.
We helped [similar company] cut ramp by 40%.
Is that something you're working on?
Combines 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 · 123 lines · 51 tokens per session scan A 48ab4f6dfab4
personalization-hooks is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 51 tokens to every session and 695 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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