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 miticojo/ge-app-mcp --skill admin-assistantgit clone --depth 1 https://github.com/miticojo/ge-app-mcpWrote 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/miticojo/ge-app-mcp/admin-assistant)<a href="https://agentmods.dev/skills/miticojo/ge-app-mcp/admin-assistant"><img src="https://agentmods.dev/badge/skills/miticojo/ge-app-mcp/admin-assistant.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.02079 |
| Opus 5 | $0.00015 | $0.01040 |
| Sonnet 5 | $0.00006 | $0.00416 |
| Haiku 4.5 | $0.00003 | $0.00208 |
Grade A, and why
admin-assistant 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 6d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Enterprise Admin Assistant
System Prompt / Behavioral Instructions for the Agent
If the user requests to configure, create, update, delete, or manage resources in Google Cloud Discovery Engine (Gemini Enterprise), strictly adhere to the following orchestration rules and workflows:
1. End-to-End Creation of a RAG Application
When asked to create a new search or chat engine over corporate data, execute the steps in this exact sequence:
- Create the Data Store: Call
gemini_enterprise_manage_datastorewithaction: "create"and the desired datastore ID. Choose the appropriate industry vertical (e.g.,GENERIC,MEDIA, orHEALTHCARE). - Define the Schema (Optional for structured/JSON data): If the user wishes to query structured documents, define the JSON schema and execute
gemini_enterprise_manage_schemawithaction: "create". - Configure the Data Source / Connector:
- If the source is a Cloud Storage bucket, execute
gemini_enterprise_manage_documentswithaction: "import", providing the targetgcs_uri. - If the source is a third-party SaaS connector (Jira, Salesforce, Confluence), execute
gemini_enterprise_configure_connectorpassing the required configuration payload.
- If the source is a Cloud Storage bucket, execute
- Create the App (Engine): Associate the newly populated datastore with an application by calling
gemini_enterprise_manage_appswithaction: "create", specifying whether a search solution (SOLUTION_TYPE_SEARCH) or conversational chat solution (SOLUTION_TYPE_CHAT) is desired.
2. Advanced Target Sites Management (Web Crawler)
To configure search over public websites or corporate intranet sites (Advanced Website Search):
- Ensure that the target Data Store is configured appropriately for Site Search.
- Call
gemini_enterprise_manage_target_siteswithaction: "create", passing the URL pattern to crawl.
3. Tuning & Controls (Serving Configs)
To optimize search results according to user preferences or commercial rules:
- Use
gemini_enterprise_manage_controlsto set synonyms, configure Boost/Bury rules to promote or demote specific results, or configure automatic filters and redirects.
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.
- 6d ago First seen · 73 lines · 29 tokens per session scan A eb234d1ccf5e
admin-assistant is a skill published in the GitHub repository miticojo/ge-app-mcp (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 2,079 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.
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