playbook-hiring-surge

playbook-hiring-surge is a skill for Claude Code, Codex from growthenginenowoslawski/coldoutboundskills. It costs 107 tokens per session (6,231 once invoked), scanned A, original, MIT.

A workflow that identifies companies whose people have recently started new roles in one department and creates a sentence describing that growth. It counts current-role starts in the last six months, including promotions and internal moves.

In plain words
What is it for?
It is for finding companies scaling a specific department, such as sales, and using that change in outreach. It can provide department-level counts that support the segment decision.
Why use it?
A company may be expanding a team even when public job ads do not show the full picture. This distinguishes department growth from a single job posting, a recent individual appointment, or new funding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit It is for finding companies scaling a specific department, such as sales, and using that change in outreach. It can provide department-level counts that support the segment decision.

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Install with agentmods
npx agentmods add skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge
Install

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.

Any agent
npx skills add growthenginenowoslawski/coldoutboundskills --skill playbook-hiring-surge
Clone the repo
git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for playbook-hiring-surge

README.md
[![agentmods](https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge/github.svg)](https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge)
Your own site
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge/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.

agentmods 80×15 button for playbook-hiring-surge

Your own site · 80×15
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/playbook-hiring-surge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.06231
Opus 5 $0.00053 $0.03116
Sonnet 5 $0.00021 $0.01246
Haiku 4.5 $0.00011 $0.00623

Measured 13d ago against content hash c93c3e8b90dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

playbook-hiring-surge 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.

skills/playbooks/playbook-hiring-surge/SKILL.md · 357 lines

How it starts

The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Playbook: Hiring Surge

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 angle is "you are scaling this team right now".

Do not use when: you want the job ad itself (playbook-job-posting-language), the person who just started (playbook-new-in-role), or money rather than people (playbook-fundraising).

One-line output: hiring_surge_line = "your sales team has 8 people who started new roles in the last six months"

The three things you cannot get wrong

  1. It is role starts, not hires. Measured 28.3% internal moves. The filter counts people whose current role started in the window — promotions, re-titles and lateral moves included. Ship started new roles; never hired, added, brought on.
  2. Never buy a LinkedIn URL with enrichment credits to feed this. The company-enrichment action that returns one costs ~8 credits per company and was, by three orders of magnitude, the largest cost line here. Use a free LinkedIn URL off your intake payload where you have one, and the bare normalized domain everywhere else. Both are free.
  3. The gate is a ratio PLUS absolute floors: role_starts >= 2 && dept_total >= 4. This cuts the qualifying segment from 14.6% to 5.2%, so plan roughly 96,000 source rows per 5,000-lead campaign. Do not loosen it to hit volume; source more rows.

1. Trigger and scope

A hiring surge is a department-level fact, not a company-level one. "This company grew from 200 to 260 people" is almost useless in copy, because the reader cannot tell whether it means anything to them. "Your sales team has 8 people who started new roles in the last six months" is specific, checkable, and implies a budget owner. This playbook produces the second kind.

The whole signal comes from one Clay table action, Find Employee Headcount by Criteria, which is free on every Clay plan. It counts how many people currently at a company match a filter set, and it accepts a recency filter (current_role_max_months_since_start_date), so running it twice per department gives you the department total and the department's last-6-months intake in one pass. No other vendor does department-sliced recency counts at zero marginal cost. That is why this playbook has exactly one source and no expensive fallback.

Read the full file on GitHub · 357 lines

Files

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.

Changes

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.

  1. 13d ago First seen · 357 lines · 107 tokens per session scan A c93c3e8b90dd

Subscribe to this mod's changes

playbook-hiring-surge is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 25d ago), licensed MIT. It adds 107 tokens to every session and 6,231 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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