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az104-cert-buddy: Skill for Claude Code

.github/skills/az104-study-planner/SKILL.md

az104-study-planner is a skill for Claude Code, Codex from timothywarner-org/az104-cert-buddy. It costs 63 tokens per session (840 once invoked), scanned A, original, MIT.

A study-plan generator for the AZ-104 Microsoft Azure administrator certification, using confidence ratings across the exam's skill areas.

In plain words
What is it for?
It is for rating knowledge of Azure identities, storage, compute, networking, and monitoring, then producing a prioritized plan with estimated hours and Microsoft Learn links.
Why use it?
It helps learners focus their limited study time on weaker subjects instead of treating every topic equally.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is timothywarner-org/az104-cert-buddy's own configuration. It tells Claude Code and Codex how to work on az104-cert-buddy 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 az104-cert-buddy configures →

not rated 28repo +4 7mo ago A scan 63 tokens original MIT
View source ↗ timothywarner-org/az104-cert-buddy techtrainertim.com
Reuse

Borrowing it

Nothing to install: this file belongs to timothywarner-org/az104-cert-buddy. 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/timothywarner-org/az104-cert-buddy/main/.github/skills/az104-study-planner/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/timothywarner-org/az104-cert-buddy

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 az104-study-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/timothywarner-org/az104-cert-buddy/az104-study-planner/github.svg)](https://agentmods.dev/skills/timothywarner-org/az104-cert-buddy/az104-study-planner)
Your own site
<a href="https://agentmods.dev/skills/timothywarner-org/az104-cert-buddy/az104-study-planner"><img src="https://agentmods.dev/badge/skills/timothywarner-org/az104-cert-buddy/az104-study-planner/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 az104-study-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/timothywarner-org/az104-cert-buddy/az104-study-planner"><img src="https://agentmods.dev/badge/skills/timothywarner-org/az104-cert-buddy/az104-study-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 840 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 original 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 $0.00063 $0.00840
Opus 5.5 $0.00025 $0.00336
Sonnet 5.5 $0.00013 $0.00168
Haiku 4.5 $0.00006 $0.00084

Measured 2mo ago against content hash c014c14f1918, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

az104-study-planner 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/az104-study-planner/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: az104.study_planner.personalized

Description: Generates a personalized AZ-104 study plan based on the user's self-assessed confidence across exam skill areas, prioritizing weak areas with estimated hours and Microsoft Learn module links.

Grounding

Required sources:

  • references/az104-objectives.md (AZ-104 skills measured, April 2025)
  • Microsoft Learn (access via the Microsoft Learn MCP server using microsoft_docs_search for current Learn module URLs)
  • Use microsoft_docs_fetch to verify Learn module links are current and active

Workflow

  1. Present skill areas with weights. Show the five AZ-104 skill areas and their exam weight percentages:

    Skill Area Exam Weight
    Manage Azure identities and governance 20-25%
    Implement and manage storage 15-20%
    Deploy and manage Azure compute resources 20-25%
    Implement and manage virtual networking 15-20%
    Monitor and maintain Azure resources 10-15%

  2. Ask for confidence ratings. Ask the user to rate their confidence in each area using one of these levels:

    • Strong -- comfortable with most objectives; needs only light review.
    • Moderate -- familiar with the concepts but needs targeted practice.
    • Weak -- limited experience; needs focused study.
    • Unknown -- not sure; treat as weak.

  3. Generate a prioritized study plan. Based on the user's ratings:

    • Order areas from weakest to strongest.
    • Within equal confidence levels, prioritize areas with higher exam weight.
    • For each area, provide:
      • Estimated study hours (weak: 8-12 hours, moderate: 4-6 hours, strong: 1-2 hours).
      • Two to three specific Microsoft Learn module links (grounded via Microsoft Learn MCP server; do not invent URLs).
      • Key objectives to focus on (from references/az104-objectives.md).
    • Include a total estimated hours range at the bottom.

  4. Offer to start practicing. After presenting the plan, ask: "Would you like to start with practice questions or a hands-on lab on [first recommended topic]?"

Read the full file on GitHub · 90 lines

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 · 90 lines · 63 tokens per session scan A c014c14f1918

Subscribe to this mod's changes

az104-study-planner is a skill published in the GitHub repository timothywarner-org/az104-cert-buddy (28 stars, last pushed 7mo ago), licensed MIT. It adds 63 tokens to every session and 840 once invoked, about $0.0003 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 2026-08-30.

Learning and teachingPlanningai-educationaz-104azureazure-administratorcertificationcopilot
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