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 zeenie-ai/OpenCompany --skill vertex-agent-admin-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/vertex-agent-admin-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/vertex-agent-admin-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/vertex-agent-admin-skill/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/zeenie-ai/opencompany/vertex-agent-admin-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/vertex-agent-admin-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00053 | $0.00481 |
| Opus 5 | $0.00026 | $0.00241 |
| Sonnet 5 | $0.00011 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
vertex-agent-admin-skill 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 9d 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
Vertex Agent Admin Skill
Lifecycle management for custom managed agents on the Gemini Enterprise Agent Platform (Agents API). A custom agent is the prebuilt Antigravity agent plus your own system instruction and a chosen set of built-in cloud tools.
Node: Vertex Agent Admin
Operations
| Operation | Purpose | Key fields |
|---|---|---|
create |
Create a custom agent (long-running: ~2-3 min the first time, seconds after) | agent_id, description, system_instruction, base_agent, tools |
list |
List custom agents in the project | — |
get |
Inspect one agent's config | agent_id |
delete |
Delete a custom agent (destructive, irreversible) | agent_id |
Fields
agent_id— 1-63 chars, lowercase letters / numbers / hyphens, must start with a letter. Example:research-assistant-v1.tools— built-in cloud tools the agent may use:code_execution,filesystem,google_search,url_context.project_id— GCP project (auth via gcloud Application Default Credentials). Leave empty to use a storedAIzaGemini API key.
Response
create / get return the agent config under agent; list returns
agents + count; delete returns deleted: true.
Using a custom agent
After create, put the agent_id into a Vertex Agent node's
agent parameter — the interaction node runs it with the same memory
continuity and tool bridging as the prebuilt agent. Deleting an agent
does not delete past interactions or sandboxes (those expire on their
own 7-day TTL).
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.
- 9d ago First seen · 51 lines · 53 tokens per session scan A 4d4b1ce79c16
vertex-agent-admin-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (883 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 481 once invoked, about $0.0003 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.
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