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/Vibiz-ai/vibiz-claude-pluginWrote 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/vibiz-ai/vibiz-claude-plugin/onboard)<a href="https://agentmods.dev/commands/vibiz-ai/vibiz-claude-plugin/onboard"><img src="https://agentmods.dev/badge/commands/vibiz-ai/vibiz-claude-plugin/onboard/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/vibiz-ai/vibiz-claude-plugin/onboard"><img src="https://agentmods.dev/badge/commands/vibiz-ai/vibiz-claude-plugin/onboard.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 | $0.00024 | $0.00741 |
| Opus 5 | $0.00012 | $0.00370 |
| Sonnet 5 | $0.00005 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
onboard 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/vibiz:onboard
End-to-end flow: detect this project's URL → check for an existing vibiz → only create a new one if no match.
Steps
-
MCP gate. Try
list_vibiz. If unauthed → tell user/mcp→ vibiz → Authenticate → re-run. Stop. -
Detect this project's brand URL using the project-match skill. Same fallback chain:
package.jsonhomepage→pyproject.toml/Cargo.toml→ first non-badge non-github link in README → ask user. -
Match against existing vibizes (using normalized
websiteUrlcomparison from the project-match skill). -
Branch on the match outcome:
Existing match found → tell the user, do NOT create another.
✓ Found an existing vibiz for <url>: "<name>" (slug: <slug>) Reusing it. To force-create a new one, say: /vibiz:onboard --force <url>Then list ICPs + offers from that vibiz so the user knows what's already in there.
No match → confirm with the user before creating:
I'll scrape <url> and create a new vibiz from it. This: - generates a brand kit (colors, fonts, logo, voice) - auto-discovers ICPs and offers - takes ~30 seconds Sound good? (yes / no / use a different URL)On yes → call
vibiz_create_from_url({ websiteUrl: "<url>" }). Show the returnedviewUrl. Tell the user the slug for use on later commands.No URL detected → ask: "Paste the public URL for this project, or skip."
-
Optional follow-up. Once a vibiz is matched OR created, ask:
Want me to (1) generate 3 ad variants now, or (2) draft a launch post about your latest commit? Map answers to
/vibiz:launchand/vibiz:postrespectively.
Sidecase handling
- Local / private URLs (
localhost,127.0.0.1,*.internal,*.local,*.test) → refuse, explain the brand kit needs a public URL. --force <url>flag in$1→ skip the matching step, go straight tovibiz_create_from_url. Useful when the detected URL was wrong.- GitHub repo with no clear product site → ask the user explicitly. Don't silently use the GitHub URL as the brand URL — that's almost never what they want.
- Existing match but it's clearly the wrong vibiz (user says "no, that's a different brand") → suggest
/vibiz:onboard --force <correct-url>. - Trigger.dev task fails → surface the error verbatim, do not retry, do not pretend it succeeded.
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 · 51 lines · 24 tokens per session scan A 44c6412d7ee9
onboard is a command published in the GitHub repository Vibiz-ai/vibiz-claude-plugin (7 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 741 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.