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-case-study-pagegit 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-case-study-page)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-case-study-page"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-case-study-page/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-case-study-page"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-case-study-page.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 | $0.04941 |
| Opus 5.5 | $0.00040 | $0.01976 |
| Sonnet 5.5 | $0.00020 | $0.00988 |
| Haiku 4.5 | $0.00010 | $0.00494 |
Grade A, and why
playbook-case-study-page 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 2mo 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playbook: Case-Study Page Name-Drop
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 wants a first line that proves you looked at the prospect's site, and the prospect publishes customer stories — B2B software, agencies, consultancies, MSPs, staffing, manufacturers with named clients.
Do not use when: you want a tech detail (playbook-tech-on-website), their pricing model
(playbook-pricing-page), or an ad they are running (playbook-ad-library).
One-line output: case_study_line = "your work with Intercom on outbound pipeline", rendering as
Saw your work with Intercom on outbound pipeline.
1. Trigger and scope
Does this company publicly brag about a named customer, and if so which one, in words you can put in an email today?
The path list is ten, not four. /customers, /case-studies, /customer-stories,
/success-stories, /case-study, /clients, /our-work, /portfolio, /testimonials, /stories.
This matters: in the live test one hit came from /testimonials, the ninth path. Any
implementation that probes only the first four loses that row to a paid fallback.
It does not judge whether the customer is impressive, does not read individual case-study PDFs, and does not look for customers not published on the prospect's own site. If the client list is private, the correct output is an abstain.
Two things make this signal safe:
- The model never writes the sentence. It only picks the customer and quotes the page. A script assembles the clause.
- Every claim must appear verbatim in the page text you fetched, so a hallucinated logo cannot reach an inbox.
2. Output contract
Inputs required per row
| Field | Type | Required? |
|---|---|---|
domain (bare, lowercase, no www, no scheme, no path) |
string | yes |
company_name |
string | no, used for logging and page-owner context |
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.
- 2mo ago First seen · 307 lines · 99 tokens per session scan A 15db5265b3d7
playbook-case-study-page is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 4,941 once invoked, about $0.0004 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.
playbook-case-study-page compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| playbook-case-study-pagegrowthenginenowoslawski/coldoutboundskills | Skill | 802 | 1mo ago | MIT | A | 99 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |