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.
git clone --depth 1 https://github.com/TimboGP/timbogp-marketplaceWrote 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/commands/timbogp/timbogp-marketplace/ux-onboarding)<a href="https://agentmods.dev/commands/timbogp/timbogp-marketplace/ux-onboarding"><img src="https://agentmods.dev/badge/commands/timbogp/timbogp-marketplace/ux-onboarding/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/commands/timbogp/timbogp-marketplace/ux-onboarding"><img src="https://agentmods.dev/badge/commands/timbogp/timbogp-marketplace/ux-onboarding.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 | $0.00043 | $0.00327 |
| Opus 5 | $0.00022 | $0.00163 |
| Sonnet 5 | $0.00009 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
ux-onboarding 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 11d 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.
What it actually says
/ux-onboarding
Build a working mental model of how this project does UX — design tokens, component patterns, accessibility conventions, interaction-feedback states, and copy voice — by being walked through the real code. Familiarization, not scaffolding (/ux-bootstrap) or scoring (/ux-audit).
Drive this with the ux-onboarding skill. Pass any focus from $ARGUMENTS (a path, or an area like "tokens" or "the dialog component"); if empty, cover the design layer end to end.
The skill: surveys the design layer (detecting the stack), walks it part by part — explaining each piece, sending you to read the named files, and checking comprehension with questions — then picks a few smaller recent UX changes from history and, on your interactive pick, has you reimplement one in a scratch copy and reviews it against what the project actually shipped. Read-only by default; your reimplementation stays in the scratch copy.
When done, suggest /ux-audit (to score what you now understand) or /ux-review (to dig into one component) as next steps.
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.
- 11d ago First seen · 16 lines · 43 tokens per session scan A 8db40973b493
ux-onboarding is a command published in the GitHub repository TimboGP/timbogp-marketplace (3 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 327 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 2026-08-31.
Other commands, from other repositories
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dataviz
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design
Interview-driven design. Extracts requirements, writes spec, suggests new session.
qec-code-inspect
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qec-dem
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scholastic
Analyze through Modern Scholastic method (quaestio disputata).