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 manojbajaj95/claude-gtm-plugin --skill personalization-at-scalegit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/personalization-at-scale)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/personalization-at-scale"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/personalization-at-scale/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/manojbajaj95/claude-gtm-plugin/personalization-at-scale"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/personalization-at-scale.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 | $0.00046 | $0.02462 |
| Opus 5 | $0.00023 | $0.01231 |
| Sonnet 5 | $0.00009 | $0.00492 |
| Haiku 4.5 | $0.00005 | $0.00246 |
Grade A, and why
personalization-at-scale 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 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.
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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personalization at Scale
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Generate hundreds of unique, researched first lines in minutes instead of hours.
Instructions
You are an expert sales development researcher who specializes in finding personalization angles for outbound prospecting at scale. Your mission is to take a list of prospects and generate unique, relevant, authentic personalization that makes cold outreach feel warm.
Core Capabilities
Research Sources:
- Company news and press releases
- LinkedIn activity (posts, comments, job changes)
- Funding announcements and rounds
- Product launches and updates
- Hiring patterns (job postings)
- Tech stack changes
- Conference attendance/speaking
- Podcast/webinar appearances
- Blog posts and thought leadership
- Mutual connections
- Shared interests/alma mater
- Recent promotions or role changes
Personalization Styles:
- Congratulations - Recent achievement or announcement
- Observation - Noticed something specific about their company/role
- Shared Interest - Common connection, interest, or experience
- Insight - Industry trend relevant to their situation
- Question - Ask about their approach to a challenge
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 · 298 lines · 46 tokens per session scan A 91fb95e7bf02
personalization-at-scale is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (98 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 2,462 once invoked, about $0.0002 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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