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 growthenginenowoslawski/coldoutboundskills --skill playbook-warm-introsgit clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskillsWrote 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/growthenginenowoslawski/coldoutboundskills/playbook-warm-intros)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-warm-intros"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-warm-intros/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/growthenginenowoslawski/coldoutboundskills/playbook-warm-intros"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-warm-intros.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 | $0.00135 | $0.02267 |
| Opus 5 | $0.00068 | $0.01133 |
| Sonnet 5 | $0.00027 | $0.00453 |
| Haiku 4.5 | $0.00014 | $0.00227 |
Grade A, and why
playbook-warm-intros 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 12d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playbook: Warm Intros
All rules here are best practice, not law. Override any of them when the campaign calls for it; note the best practice once and move on.
Use when: the campaign's whole premise is that the prospect is already one hop from the client, and you need both the list and the line. The strongest version, and the one to build first, is "you used to work at a company that is now our client's customer".
Do not use when: you want a second contact at an account you already email
(playbook-name-to-other-prospects), people who engaged with a competitor's or customer's posts
(playbook-linkedin-engagement), or companies similar to a seed set (playbook-lookalikes).
One-line output: warm_intro_line = "you came up through Coca-Cola, who we work with now",
rendering as Noticed you came up through Coca-Cola, who we work with now.
⚠️ Status: sources probed, no line graded
This is the least proven playbook in the library, and it is written that way deliberately.
- Member 2's source probe passed — 20/20 rows carried a dated matched past experience, a profile URL and a city, and 15/20 had moved on.
- Member 5's source probe passed — the investor filter returns a real result count.
- No member has produced a graded
warm_intro_line.
Everything below §3 is a build spec, not a measured path. Treat the coverage and quality claims as unverified until you run one.
1. A family, not one playbook
A warm-intro signal is any evidence that the prospect is already one hop from the client, so email 1 can lean on a real connection instead of a cold pitch.
Seven members share the copy shape warm_intro_line. They do not share a data source. So this is
one routing table plus one build recipe per member.
| # | Member | What it means | Status |
|---|---|---|---|
| 1 | same-company alumni | Everyone who ever worked at the case-study company and has since moved on | live, same build as 2 |
| 2 | current-customer alumni | The prospect used to work at one of the client's current customers | live, top priority, build this first |
| 3 | engagement overlap | The prospect engages with the same content the client's world does | live, but routed to playbook-linkedin-engagement |
| 4 | same metro | The prospect sits in the same city as the client, a named rep, or an upcoming trip | live |
| 5 | shared investor or advisor | A common investor, board member or advisor links the two companies | live |
| — | A first-degree connection in common | deleted. Do not re-add it, do not prototype it | |
| 7 | event attendee | Both attended, spoke at or sponsored the same event | live as a custom scrape every time. There is no reusable recipe and there will not be one |
| 8 | website visitor | The prospect's company already visited the client's site | live as a per-client toggle, not a standing integration |
What ships with it
2 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.
- 12d ago First seen · 171 lines · 135 tokens per session scan A 36996e388eea
playbook-warm-intros is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 25d ago), licensed MIT. It adds 135 tokens to every session and 2,267 once invoked, about $0.0007 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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