Below is a polished, GitHub-Pages–friendly English version of your README, formatted as a documentation/homepage index.md (Markdown) that you can drop into your repository docs/ (or use as README.md). It’s structured for clarity, SEO, and easy expansion.
You can copy this into docs/index.md (for GitHub Pages) or README.md (for repo landing). I also include a short “how to publish” note at the end.
---
title: Security Specialist Study Hub
description: A study repository to accelerate preparation for the Information Security Support Specialist (IPA) exam using practical tools, automation, and AI-assisted review.
---
# Security Specialist — Study Hub
**Purpose:**
This repository supports efficient study and improvement for the *Information Security Support Specialist* (情報処理安全確保支援士) exam by combining problem analysis, automated study aids, and AI-assisted review.
---
## Table of Contents
- [Purpose](#purpose)
- [Project Overview](#project-overview)
- [2025 Objectives](#2025-objectives)
- [Exam Registration & Schedule](#exam-registration--schedule)
- [Reflections & Lessons Learned](#reflections--lessons-learned)
- [Action Plan](#action-plan)
- [Observed Weaknesses / Trends](#observed-weaknesses--trends)
- [Afternoon Exam Commentary](#afternoon-exam-commentary)
- [How to Contribute](#how-to-contribute)
- [How to Publish This Site (GitHub Pages)](#how-to-publish-this-site-github-pages)
- [License](#license)
---
## Purpose
This repository is designed to help streamline preparation for the Information Security Support Specialist exam by:
- Organizing study materials and practice problems
- Applying IT-driven improvements to study workflows
- Using AI-assisted grading and feedback to improve answer completeness and clarity
---
## Project Overview
**Current status:** Structure under development (planning and incremental content additions).
Primary components to be developed:
- Problem sets and model answers
- Automated grading/evaluation tools (AI-assisted)
- Notes and reviews of official IPA documentation
- Practical exercises using scripts and small tools for learning
---
## 2025 Objectives
- Use IT tools to accelerate and structure study workflows.
- Implement targeted countermeasures derived from analysis of previous exam performance.
- Maintain a living set of notes and automated checks to ensure steady improvement.
---
## Exam Registration & Schedule
- Typically, exam registrations open from **the 2nd week of July**. Check the official page for the current year:
- IPA application portal: https://www.ipa.go.jp/shiken/mousikomi/moushikomi.html
- For the R7 spring exam (example):
- Registration started **January 17**. (See: https://www.ipa.go.jp/shiken/2025/r07haru_exam.html)
> Always verify official dates on the IPA website as schedules change yearly.
---
## Reflections & Lessons Learned
After reviewing past mock exams and real attempts, common issues observed:
1. Answers often fall just on the pass/fail threshold, and many borderline answers were graded as incorrect.
2. Answers are sometimes misaligned with what the question actually asks.
3. Important details that should be explicitly stated are occasionally left vague.
Recent example (December 2024):
- Score reached **58/100** (2 points short).
- Root causes identified:
- Final answer completeness and clarity.
- Lack of a third-party perspective during self-study (i.e., missing external review).
- Hypothesis: Solo self-study causes answers to miss key phrasing or required detail, even if the content is generally correct.
---
## Action Plan
To remedy the issues above, this repository will explore and apply:
- **AI-assisted grading:** Create a pipeline to allow automatic, repeatable feedback on written answers (rubric-based scoring + suggestions).
- **Periodic review cycles:** Revisit problems and model answers on a schedule to reinforce knowledge and correct misunderstandings.
- **Official documentation review:** Maintain curated summaries and change logs for IPA/other authoritative guidance so you stay up-to-date.
Planned tasks:
- Design a simple grading rubric that can be used by an automated scorer.
- Build sample scripts to format questions+answers for AI review.
- Schedule weekly review checkpoints and keep logs of improvements.
---
## Observed Weaknesses / Study Trends
1. **Misreading questions** and answering from memory rather than from the prompt.
2. **Omitting key points**; answers don’t always contain every item the question expects.
3. **Surface-level understanding** of specific security concepts — deeper concept mastery is needed.
---
## Afternoon Exam Commentary
- Example analysis and commentary (external resource):
- *Information Security Support Specialist Path (Part 1): Solving R7 Spring Afternoon Problem 1 (Q1(1)–(2))* — Ruchiru Mike
https://note.com/huge_boar6554/n/nd098ec10d634
(Use such walkthroughs as examples to compare your answers and learn typical examiner expectations.)
---
## How to Contribute
Contributions are welcome. Suggested ways to help:
- Add or improve **practice questions** and model answers
- Provide **peer reviews** of existing answers
- Implement or test **AI grading scripts** (templates will be provided)
- Add curated links or summaries of **official guidance** and improvements
If you want to contribute:
1. Fork this repository
2. Create a branch `feature/<topic>`
3. Commit changes with clear messages
4. Open a Pull Request with a description of the improvement
---
## How to Publish This Site (GitHub Pages)
To publish this repository as a GitHub Pages documentation site:
1. Create a `docs/` folder in your repo root and place this file as `docs/index.md`.
2. Go to **Repository → Settings → Pages**.
3. Under **Source**, choose the branch (e.g., `main`) and the folder `/docs`.
4. Save. GitHub will build and publish the site at:
https://.github.io//
5. Optionally use a generator like **MkDocs** or **Docusaurus** for richer docs and navigation.
---
## License
Include a license file (recommended: MIT or Apache 2.0). If you don’t have one yet, add `LICENSE` with your chosen terms.
---
### Notes & Next Steps
- I can also produce:
- A **GitHub Pages theme** (MkDocs config or simple Jekyll) for this content
- A **template** for AI grading input/output (JSON format)
- Starter scripts (Python) to format Q&A for automated review
If you want, I will:
1. Convert this into a ready-to-use `docs/` site structure using **MkDocs** or **Jekyll**.
2. Produce a short AI-grading rubric and a minimal example script to run a QA through an AI grader.
Which of these would you like me to prepare next?
If you want, I’ll:
docs/ folder scaffold (MkDocs or plain markdown) and a ready-to-push commit, orWhich one would you like me to do next?