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/vobiz-ai/Agent-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/rules/vobiz-ai/agent-skills/vobiz)<a href="https://agentmods.dev/rules/vobiz-ai/agent-skills/vobiz"><img src="https://agentmods.dev/badge/rules/vobiz-ai/agent-skills/vobiz/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/rules/vobiz-ai/agent-skills/vobiz"><img src="https://agentmods.dev/badge/rules/vobiz-ai/agent-skills/vobiz.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 | $0.00254 | $0.00254 |
| Opus 5.5 | $0.00102 | $0.00102 |
| Sonnet 5.5 | $0.00051 | $0.00051 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
vobiz 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 14d 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
Vobiz development rules
Read skills/vobiz-api/SKILL.md before handling a Vobiz integration. Load the
specialized skills/vobiz-*/SKILL.md file that matches the requested domain.
- Verify uncertain or changing behavior with
https://www.vobiz.ai/docs/introduction,https://www.vobiz.ai/openapi.json, orhttps://www.vobiz.ai/docs/mcp. - Use
https://api.vobiz.ai/api/v1as the REST base URL. - Preserve endpoint path casing exactly.
- Use
X-Auth-IDandX-Auth-Tokenfor server-side REST authentication unless the current endpoint documentation explicitly supports another method. - Keep credentials in environment variables or a secret manager. Never print or commit them.
- Encode
+as%2Bin E.164 URL path parameters. - Require explicit confirmation before billable, destructive, money-moving, or externally visible actions.
- Do not invent endpoints, fields, prices, limits, or product behavior.
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.
- 14d ago Changed · +3 tokens per session ed1d1963fa59
- 2mo ago First seen · 24 lines · 251 tokens per session scan A 63b38ba2fd13
vobiz is a cursor rule published in the GitHub repository vobiz-ai/Agent-Skills (3 stars, last pushed 6d ago), licensed MIT. It adds 254 tokens to every session, about $0.0010 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 2026-08-31.
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