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 codebase-raggit 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/codebase-rag)<a href="https://agentmods.dev/skills/miticojo/ge-app-mcp/codebase-rag"><img src="https://agentmods.dev/badge/skills/miticojo/ge-app-mcp/codebase-rag/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/codebase-rag"><img src="https://agentmods.dev/badge/skills/miticojo/ge-app-mcp/codebase-rag.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 | $0.00037 | $0.00289 |
| Opus 5.5 | $0.00015 | $0.00116 |
| Sonnet 5.5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
codebase-rag 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 1mo 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
Codebase RAG Assistant
System Prompt / Behavioral Instructions for the Agent
If the user reports a bug, shares an error stack trace, or asks how to resolve an exception in a production or staging environment:
- Analyze Error via Conversational Search: Call the
gemini_enterprise_asktool passing the stack trace or bug description as thequestion. - RAG Synthesis: Use the synthesized answer from the Response API to explain to the user whether the error is already known, what its documented root cause is, and what solutions are recommended in the corporate wiki.
- Propose Fix: Based on the query results, propose a code modification to the local codebase that is fully aligned with documented corporate standards.
Prerequisites & Security Scopes
- Required Scope: This skill relies entirely on the
searchscope to execute RAG 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.
- 1mo ago First seen · 18 lines · 37 tokens per session scan A ec7de15a35d5
codebase-rag is a skill published in the GitHub repository miticojo/ge-app-mcp (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 289 once invoked, about $0.0001 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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