# cert-study

> Use this tool when you need to manage and track study sessions for certification exams, such as creating a local CBT exam system with features like scoring and wrong answer tracking. It solves problems like organizing study materials and optimizing review queues, with inputs including exam questions and study session data, and outputs like scored results and review recommendations. Ideal for use in contexts where structured exam preparation and progress tracking are necessary, with optional integration with Notion for enhanced organization.

Canonical page: https://skillsregistry.net/skills/merchantlee99-26-codex-learningsystem  
JSON: https://api.skillsregistry.net/v1/skills/merchantlee99-26-codex-learningsystem

## Description

Provides a local CBT exam system as MCP tools for Codex, managing study sessions, scoring, wrong answer tracking, and review queues with deterministic Python engine and optional Notion integration.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c9wu2es61p)
- **Repository:** <https://github.com/Merchantlee99/codex_learningsystem>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "merchantlee99-26-codex-learningsystem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/merchantlee99-26-codex-learningsystem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/merchantlee99-26-codex-learningsystem/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
