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/Amey-Thakur/AI-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/commands/amey-thakur/ai-skills/onboarding-flow)<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/onboarding-flow"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/onboarding-flow/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/amey-thakur/ai-skills/onboarding-flow"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/onboarding-flow.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 | $0.00019 | $0.00232 |
| Opus 5 | $0.00010 | $0.00116 |
| Sonnet 5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
onboarding-flow 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 8d 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
You were invoked as a slash command. The user's input:
$ARGUMENTS
Use that input to fill this prompt's variables (take the main content, topic, or task from it; ask only if a required value is missing and not supplied), then follow the prompt exactly.
Design onboarding for:
{product}
Current experience: {current}
Use onboarding-ux, user-activation, and form-design.
Produce:
- The first meaningful outcome, defined specifically.
- The shortest path to it, with every step justified.
- What is deferred until after first value.
- Where sample data or a template removes setup effort.
- Empty states that teach rather than sit blank.
- What is measured, including where people drop.
Rules: remove every field and step not needed to reach first value. Defer account setup that is not required yet. Do not front-load a tour; let people do something real. Name the drop-off point you expect and how you would detect it.
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.
- 8d ago First seen · 36 lines · 19 tokens per session scan A 843fb85febc4
onboarding-flow is a command published in the GitHub repository Amey-Thakur/AI-SKILLS (7 stars, last pushed 5d ago), licensed MIT. It adds 19 tokens to every session and 232 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
design-handoff
Build a current, labeled screenshot package of an app's UI for an external design reviewer, reusing the project's existing screenshot UITest + fastlane lane.
icon-composer
Design a HIG-correct layered Liquid Glass icon and produce Icon Composer-ready art plus an import checklist.
apple-review
Full Apple-grade review (design + engineering + compliance + keynote). Review only, no fixes. Runs the apple-review skill.
handoff
Assemble or verify the design handoff (tokens + section images + notes) that BUILD implements 1:1.
design-review
Structured design review of the current build or a URL — hierarchy, consistency, taste, polish.
accessibility
Audit product accessibility.