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 enterprise-contextgit 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/enterprise-context)<a href="https://agentmods.dev/skills/miticojo/ge-app-mcp/enterprise-context"><img src="https://agentmods.dev/badge/skills/miticojo/ge-app-mcp/enterprise-context/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/miticojo/ge-app-mcp/enterprise-context"><img src="https://agentmods.dev/badge/skills/miticojo/ge-app-mcp/enterprise-context.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 | $0.00031 | $0.00348 |
| Opus 5 | $0.00015 | $0.00174 |
| Sonnet 5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
enterprise-context 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 8d 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
Enterprise Context Retriever
System Prompt / Behavioral Instructions for the Agent
If the user asks questions related to:
- Corporate policies, internal guidelines, or employee benefits.
- Proprietary microservices architectures or internal APIs.
- Information about clients, contracts, or historical support tickets.
YOU MUST ADHERE TO THE FOLLOWING RULES:
- Zero Trust & No Guessing: Do not guess answers. If you do not have the information in your context, perform an immediate search.
- Systematic Search Use: Call the
gemini_enterprise_searchtool passing the configureddatastore_idfor the target corporate knowledge base. - Always Cite Sources: When returning answers to the user, clearly list the source documents, their titles, and URLs returned by the search tool.
- Deep Dive with Get Document: If the search returns only a brief snippet and you need to examine an entire configuration file or an extended source document, call
gemini_enterprise_get_documentto read its full content.
Prerequisites & Security Scopes
- Required Scope: This skill relies entirely on the
searchscope to perform semantic and document search queries. - Enforcement: Verify that the MCP server has the
searchscope enabled. If any search tool returns an "Access Denied" error, request the user to add thesearchscope to theMCP_SCOPESenvironment variable.
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.
- 8d ago First seen · 23 lines · 31 tokens per session scan A 7bbb9e7f87a5
enterprise-context is a skill published in the GitHub repository miticojo/ge-app-mcp (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 348 once invoked, about $0.0002 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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