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 OpenClaudia/openclaudia-skills --skill onboarding-crogit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/onboarding-cro)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/onboarding-cro"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/onboarding-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/openclaudia/openclaudia-skills/onboarding-cro"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/onboarding-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00089 | $0.03481 |
| Opus 5 | $0.00044 | $0.01741 |
| Sonnet 5 | $0.00018 | $0.00696 |
| Haiku 4.5 | $0.00009 | $0.00348 |
Grade A, and why
onboarding-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 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 — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding CRO
Design and optimize user onboarding flows that drive activation and long-term retention.
1. Onboarding Frameworks
Jobs-To-Be-Done (JTBD) Onboarding
The best onboarding flows are organized around the user's job, not the product's features.
Process:
- Identify the user's primary job-to-be-done
- Map the minimum steps to complete that job in your product
- Guide the user through those steps, removing all distractions
- Celebrate completion (aha moment)
Example (Notion):
- Job: "I need to organize my team's projects"
- Steps: Create workspace > Invite team > Create first page > Use a template
- The onboarding flow guides exactly this path, nothing more
Anti-pattern: Feature tours that show every feature. Users do not care about features during onboarding; they care about solving their problem.
Progressive Disclosure
Reveal functionality gradually as users demonstrate readiness.
Levels:
- First session: Only show core functionality needed for primary job
- After first success: Introduce secondary features that enhance the core workflow
- After repeated use: Surface power features, integrations, customization
- After mastery: Invite to advanced features, API, automation
Implementation:
- Use feature flags or user state to control what's visible
- Track user actions to determine when to advance disclosure level
- Never show everything at once
Activation Metrics
Define your activation metric before designing onboarding. The activation metric is the action most correlated with long-term retention.
Examples:
| Product | Activation Metric | Timeframe |
|---|---|---|
| Slack | Send 2,000 messages (team) | First 30 days |
| Dropbox | Upload 1 file from 2 devices | First 7 days |
| Add 7 friends | First 10 days | |
| Zoom | Host first meeting | First 7 days |
| Notion | Create 3 pages | First 7 days |
| Figma | Create first design | First 3 days |
| HubSpot | Import contacts + send first email | First 14 days |
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 · 487 lines · 89 tokens per session scan A e1ea7ae49b6f
onboarding-cro is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 3,481 once invoked, about $0.0004 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.
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