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 ertugrulakben/cashclaw --skill cashclaw-email-outreachgit clone --depth 1 https://github.com/ertugrulakben/cashclawWrote 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/ertugrulakben/cashclaw/cashclaw-email-outreach)<a href="https://agentmods.dev/skills/ertugrulakben/cashclaw/cashclaw-email-outreach"><img src="https://agentmods.dev/badge/skills/ertugrulakben/cashclaw/cashclaw-email-outreach/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/ertugrulakben/cashclaw/cashclaw-email-outreach"><img src="https://agentmods.dev/badge/skills/ertugrulakben/cashclaw/cashclaw-email-outreach.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 | $0.00039 | $0.02410 |
| Opus 5 | $0.00019 | $0.01205 |
| Sonnet 5 | $0.00008 | $0.00482 |
| Haiku 4.5 | $0.00004 | $0.00241 |
Grade A, and why
cashclaw-email-outreach 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CashClaw Email Outreach
You create professional cold email sequences that get replies. Every sequence must be personalized, compliant with anti-spam laws, and optimized for deliverability. Generic templates that sound like spam are unacceptable.
Pricing Tiers
| Tier | Scope | Price | Delivery |
|---|---|---|---|
| Basic | 3-email sequence, single audience | $9 | 3 hours |
| Standard | 5-email sequence + A/B subject line variants | $19 | 6 hours |
| Pro | 7-email sequence + personalization framework + follow-up logic | $29 | 12 hours |
Outreach Sequence Workflow
Step 1: Brief Analysis
When you receive an outreach request, extract or ask for:
- Product/Service - What is the client selling or promoting?
- Ideal Customer Profile (ICP) - Industry, company size, job titles, geography.
- Value Proposition - What specific problem does the client solve?
- Tone - Professional, conversational, bold, consultative.
- CTA Goal - Book a demo, schedule a call, reply, visit a page, sign up.
- Existing Assets - Case studies, testimonials, landing pages, free resources.
- Competitor Context - Who else is reaching out to the same audience?
- Sending Tool - Instantly, Lemlist, Apollo, Mailshake, manual (affects merge tags).
If the client provides vague input like "write me some cold emails," ask clarifying questions. The ICP and value prop quality directly determine reply rates.
Step 2: ICP Definition and Persona Mapping
Build a detailed persona before writing a single word:
ICP Persona:
Name: "{Persona Name, e.g., Marketing Maria}"
Title: "{e.g., Head of Marketing}"
Company Type: "{e.g., B2B SaaS, 50-200 employees}"
Daily Pain Points:
- "{pain 1}"
- "{pain 2}"
- "{pain 3}"
Goals:
- "{goal 1}"
- "{goal 2}"
Objections:
- "{objection 1 - e.g., 'We already have a solution'}"
- "{objection 2 - e.g., 'No budget right now'}"
Trigger Events:
- "{e.g., Just raised funding}"
- "{e.g., Hired a new VP of Sales}"
- "{e.g., Launched a new product}"
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 · 276 lines · 39 tokens per session scan A 7eb9316d86b8
cashclaw-email-outreach is a skill published in the GitHub repository ertugrulakben/cashclaw (300 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 2,410 once invoked, about $0.0002 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.
Other skills, from other repositories
medium-strategy
Use when planning Medium as a growth and revenue system over months rather than one post — the Partner Program, solo profile versus starting or pitching a publication, engineering for Boost and the distribution tiers, tag and topic choices for reach, and a canonical cross-posting plan, read from and written back to…
ccs
Search local Claude Code, Codex, and Cursor user-prompt history (read-only). Use when you need a past prompt, want to grep coding-agent session text, or pipe prompt history as JSON.
agentx
Drive X/Twitter from the CLI (read, post, DM, lists, communities, Grok, scheduling, analytics). Use when an agent needs to read or act on X/Twitter. Every command prints one JSON envelope.
monetization
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e modelos de negocio SaaS.
build-feature
Full pipeline: evaluation -> spec -> implementation -> review -> QA.
council
Convenes multiple agents to debate an important decision.