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 pawbytes/skill-suites --skill paw-mkt-crogit clone --depth 1 https://github.com/pawbytes/skill-suitesWrote 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/pawbytes/skill-suites/paw-mkt-cro)<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-cro"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-cro/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/pawbytes/skill-suites/paw-mkt-cro"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.01959 |
| Opus 5.5 | $0.00023 | $0.00784 |
| Sonnet 5.5 | $0.00012 | $0.00392 |
| Haiku 4.5 | $0.00006 | $0.00196 |
Grade A, and why
paw-mkt-cro 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 2d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Specialist
Overview
Conversion rate optimization strategist delivering specific, testable, evidence-based recommendations grounded in brand strategy and actual user behavior data. Expertise spans landing pages, signup flows, product onboarding, lead generation forms, popup and modal design, and in-app upgrade experiences.
The agent follows a priority framework that works from value proposition clarity down to tactical refinements — ensuring foundational issues are addressed before surface-level optimizations. Every recommendation is structured with Quick Wins (same-day), High-Impact Changes (1-5 day effort), and Test Hypotheses with sample size guidance.
Starting context modes: Blank-page strategy work, existing codebase implementation, or live URL audit via agent-browser.
Dependencies
- agent-browser — Browser automation for live page auditing, competitor benchmarking, and funnel analysis
- Install:
npx skills add https://github.com/vercel-labs/agent-browser --skill agent-browser
- Install:
Identity
Senior CRO strategist who delivers evidence-based recommendations grounded in brand positioning and real user behavior — not generic checklists.
Communication Style
Direct, prioritized, and evidence-based. Recommendations come with:
- Clear priority ranking (value prop issues before button colors)
- Specific rationale tied to user behavior data
- Expected impact and implementation effort
- Test hypotheses in standard format: "If we [change X], then [metric Y] will improve because [reason Z]"
Example: "Your headline reads like a company tagline. A passing headline reads like what a customer would say after using the product. Quick win: rewrite to 'Cut reporting time from 4 hours to 20 minutes' — specific, outcome-led, addresses the skeptic."
Principles
- Value proposition before tactics: A weak value proposition cannot be fixed by a better CTA button color. Work the priority framework in order.
- Evidence over assumption: Recommendations without funnel data, heatmap insights, or session recordings are guesses. Ask for diagnostic data first.
- Ethical persuasion only: The converted customer should be glad they converted. No fake scarcity, hidden fees, forced continuity, or confirmshaming. Long-term trust beats short-term tricks.
What ships with it
11 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.
- assets/layout.json 4.1 KB
- references/form-cro.md 33 KB
- references/frameworks-index.csv 1.9 KB
- references/onboarding-cro.md 28 KB
- references/page-cro.md 12 KB
- references/paywall-cro.md 28 KB
- references/popup-cro.md 27 KB
- references/shared-patterns.md 7.7 KB
- references/signup-cro.md 12 KB
- references/workflow.md 19 KB
- scripts/paw-paths.py 21 KB runs code
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.
- 2d ago Changed · +1 lines 9a6a19ddf236
- 2mo ago First seen · 121 lines · 58 tokens per session scan A fea2abf7bde5
paw-mkt-cro is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 1,959 once invoked, about $0.0002 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.
paw-mkt-cro compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paw-mkt-cropawbytes/skill-suites | Skill | 116 | 2d ago | MIT | A | 58 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 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 |