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-tech-on-websitegit 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-tech-on-website)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-tech-on-website"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-tech-on-website/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-tech-on-website"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-tech-on-website.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 | $0.00099 | $0.03299 |
| Opus 5 | $0.00049 | $0.01649 |
| Sonnet 5 | $0.00020 | $0.00660 |
| Haiku 4.5 | $0.00010 | $0.00330 |
Grade A, and why
playbook-tech-on-website 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 13d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playbook: Technology On Website
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.
1. Trigger and scope
Use when: the offer only makes sense to companies running a specific piece of software on their site — a Shopify app, a Klaviyo migration, a HubSpot implementation, a WordPress maintenance offer. Works in both directions: discovery ("build me a list of every company on Shopify") and enrichment ("here are 4,000 domains, which run Klaviyo").
Do not use when: you want the software a company sells, or mail-infrastructure targeting.
Default output: tech_confirmed, tech_stack_verified (JSON array), tech_evidence,
tech_checked_at. Abstain = false / [] / "".
On request only: tech_on_website_line, 110 chars.
The sentence is opt-in. The job is the verdict: does this company run the technology, and how do we know. That is what a list gets gated on, and for most campaigns it is the entire deliverable. Write the clause only when the brief explicitly asks. Never let an unrequested sentence be the reason a row costs a model call.
The thing that makes this playbook necessary
A technographic database tells you what a crawler saw at some unstated point in the past, and it is wrong often enough to embarrass you.
In the graded test, 4 of the 10 companies a provider returned from its own Shopify filter were not on Shopify. Two were not ecommerce at all.
The homepage verifier is not a quality step. It is the gate. Nothing reaches copy without it. Plan for roughly 60% of a provider-sourced list to survive verification, so pull 1.7x what you need.
2. Run it: tandem discovery, then the gate
The two discovery lanes run IN TANDEM and the result is a union. Not a waterfall, not a choice.
Measured: two providers' first pages returned 74 domains and 60 domains with zero overlap. Whichever single provider you pick, you leave most of the market on the table.
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.
- 13d ago First seen · 247 lines · 99 tokens per session scan A ce34143f3a46
playbook-tech-on-website is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 25d ago), licensed MIT. It adds 99 tokens to every session and 3,299 once invoked, about $0.0005 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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