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-ai-specificitygit 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-ai-specificity)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity/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-ai-specificity"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-ai-specificity.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 | $0.00091 | $0.04066 |
| Opus 5 | $0.00046 | $0.02033 |
| Sonnet 5 | $0.00018 | $0.00813 |
| Haiku 4.5 | $0.00009 | $0.00407 |
Grade A, and why
playbook-ai-specificity 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playbook: AI Specificity Line
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 offer is good but the email reads like it was sent to 5,000 people, and you need one sentence that names what the client would actually do for this company.
Do not use when: you want a first line about a person or an event. Those playbooks personalize the opener. This one personalizes the offer — which is a different and usually more durable move.
One-line output: specificity_line = "know the landed cost of every pool float before you price it"
1. Trigger and scope
This produces the tail of one fixed sentence:
I think we can help you {{specificity_line}}.
The whole job is one move: take the client's generic capability and say it back in the prospect's own nouns.
- A bookkeeping firm does not write "we help with margin reporting". It writes "know what each pool noodle costs to make before you price the next run".
- A list-building service does not write "we build B2B lists". It writes "build a list of every pool contractor in Texas with the owner's cell number".
Same offer, different words, and the prospect reads it as written for them.
Two things this is not. It is not a first line — it never mentions the person, their job, or anything they did. And it is not a claim about the company's problems — it never says they are struggling or missing something. It says what the work would be.
⚠️ The frame lives in the campaign copy, not inside the variable. Real campaigns have put the frame inside the merge field, and then every lead carries the same eight opening words inside a custom field — which is both a repetition problem and a spintax problem.
2. Output contract
Inputs required per row
| Field | Type | Required? |
|---|---|---|
domain (bare, lowercase) |
string | yes |
company_name |
string | yes |
company_description |
string | yes — this is the whole input |
primary_offerings, revenue_streams |
string | no, they sharpen the anchor |
client_offer_block |
text block, per client, not per row | yes, locked once per client |
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 · 296 lines · 91 tokens per session scan A 5d03a4421b30
playbook-ai-specificity is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 25d ago), licensed MIT. It adds 91 tokens to every session and 4,066 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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