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RAG-MCP-SERVER: Skill for Claude Code

.github/skills/interview-prep/SKILL.md

interview-prep is a skill for Claude Code, Codex from wuwux666/RAG-MCP-SERVER. It costs 116 tokens per session (4,629 once invoked), scanned A, original, no licence file.

A mock technical-interview agent for the Modular RAG MCP Server project. RAG means retrieving relevant stored information before generating an answer.

In plain words
What is it for?
It helps users practise project-focused interviews for up to three rounds and produces a report with reference answers, feedback on presentation, and scores.
Why use it?
It provides structured practice with follow-up questions and a saved report, rather than a single list of interview prompts.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

This is wuwux666/RAG-MCP-SERVER's own configuration. It tells Claude Code and Codex how to work on RAG-MCP-SERVER itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything RAG-MCP-SERVER configures →

not rated 2repo +1 4mo ago A scan 116 tokens no licence
View source ↗ wuwux666/RAG-MCP-SERVER
Reuse

Borrowing it

Nothing to install: this file belongs to wuwux666/RAG-MCP-SERVER. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wuwux666/RAG-MCP-SERVER/main/.github/skills/interview-prep/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/wuwux666/RAG-MCP-SERVER

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for interview-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/wuwux666/rag-mcp-server/interview-prep/github.svg)](https://agentmods.dev/skills/wuwux666/rag-mcp-server/interview-prep)
Your own site
<a href="https://agentmods.dev/skills/wuwux666/rag-mcp-server/interview-prep"><img src="https://agentmods.dev/badge/skills/wuwux666/rag-mcp-server/interview-prep/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.

agentmods 80×15 button for interview-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/wuwux666/rag-mcp-server/interview-prep"><img src="https://agentmods.dev/badge/skills/wuwux666/rag-mcp-server/interview-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,629 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00116 $0.04629
Opus 5.5 $0.00046 $0.01852
Sonnet 5.5 $0.00023 $0.00926
Haiku 4.5 $0.00012 $0.00463

Measured 2mo ago against content hash 4ca58b8e9fa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interview-prep 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 2mo 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.

.github/skills/interview-prep/SKILL.md · 272 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2mo ago First seen · 272 lines · 116 tokens per session scan A 4ca58b8e9fa7

Subscribe to this mod's changes

interview-prep is a skill published in the GitHub repository wuwux666/RAG-MCP-SERVER (2 stars, last pushed 4mo ago), with no licence file. It adds 116 tokens to every session and 4,629 once invoked, about $0.0005 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.

Learning and teaching
Related

interview-prep compared with skills from other repositories

interview-prep next to 6 skills from other repositories
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interview-prepwuwux666/RAG-MCP-SERVERSkill24mo agononeA116Claude Code, Codex
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