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 matteotitta/genesys-skills --skill levelgit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/level)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/level"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/level/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/matteotitta/genesys-skills/level"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/level.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 | $0.00169 | $0.03091 |
| Opus 5.5 | $0.00068 | $0.01236 |
| Sonnet 5.5 | $0.00034 | $0.00618 |
| Haiku 4.5 | $0.00017 | $0.00309 |
Grade A, and why
level 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 1mo 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/level — the 10 levels of Claude Code
Situation. Most people using Claude Code have no idea how much of it they're actually using — they type prompts into a terminal and stop there, or they've built a deep system and can't see the gaps. Complication. There's no honest, repeatable way to answer "how good is my setup, really, and what's the single next thing to build?" Generic "10 levels of AI" lists don't measure Claude Code specifically, and self-assessment drifts. Question. Where are you on the Claude Code mastery curve, and what's the one move that levels you up? Answer. This skill scores you 0-10 on a ladder calibrated to the 4 systems pillars, benchmarked against the most advanced documented setup + the latest Anthropic features, then hands you a focused roadmap and a shareable dashboard.
This is NOT the generic "10 levels of Claude" (browser, desktop, projects). It's specifically Claude Code mastery. Level 0 is "just installed it." Level 10 is genuinely rare — it's the documented ceiling in the premium reference.
Pick a front door → Score it → Show the roadmap → Render dashboard → Build first step
↓ ↓ ↓ ↓ ↓
quiz or scan 0-10 + 4 pillars next level only HTML (shareable) optional
Designed to be re-run. Every time you level up, the score updates.
Modes and flags
Parse the user's input for flags. Defaults shown.
| Flag | Effect |
|---|---|
--mode beginner (default) |
"Knowledgeable friend" voice (see tone rules below). Default brand = GTM Engineer School (or template defaults). Default front door = quiz. |
--mode internal |
Operator-terse voice for self/team audits. Default brand = Genesys Growth kit. Default front door = scan. |
--brand-kit <path> |
Brand the HTML dashboard from a specific brand kit (a DESIGN.md with token frontmatter). Overrides the mode's default brand. --brand-kit none forces the plain dark defaults. |
--format html (default) | ascii | both |
Output shape. html = the branded dashboard. ascii = a fixed-width, paste-anywhere result card (best for sharing — Slack / LinkedIn / a code block). both = render each. |
--quiz |
Force the interactive quiz front door (works with zero setup; shareable). |
--assess |
Force the silent file scan, then stop after the assessment (no roadmap/build). |
--build |
Skip assessment; jump straight to building the next step (asks current level first). |
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.
- 1mo ago First seen · 190 lines · 169 tokens per session scan A 1118e151a610
level is a skill published in the GitHub repository matteotitta/genesys-skills (46 stars, last pushed 11d ago), licensed MIT. It adds 169 tokens to every session and 3,091 once invoked, about $0.0007 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.
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