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 timothywarner-org/ai901-cert-buddy-claude --skill ai901-study-plannergit clone --depth 1 https://github.com/timothywarner-org/ai901-cert-buddy-claudeWrote 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/timothywarner-org/ai901-cert-buddy-claude/ai901-study-planner)<a href="https://agentmods.dev/skills/timothywarner-org/ai901-cert-buddy-claude/ai901-study-planner"><img src="https://agentmods.dev/badge/skills/timothywarner-org/ai901-cert-buddy-claude/ai901-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.
<a href="https://agentmods.dev/skills/timothywarner-org/ai901-cert-buddy-claude/ai901-study-planner"><img src="https://agentmods.dev/badge/skills/timothywarner-org/ai901-cert-buddy-claude/ai901-study-planner.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 | $0.00085 | $0.02437 |
| Opus 5.5 | $0.00034 | $0.00975 |
| Sonnet 5.5 | $0.00017 | $0.00487 |
| Haiku 4.5 | $0.00009 | $0.00244 |
Grade A, and why
ai901-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 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: ai901.study_planner.personalized
Description: Generates a personalized AI-901 (Microsoft Azure AI Fundamentals) study plan based on the learner's self-assessed confidence across exam domains and sub-areas, prioritizing weak areas with estimated hours, Microsoft Learn module links, and the matching lesson from the Microsoft Press video course companion. AI-901 sits at the beginning of your career in AI solution development, so the plan favors plain-language grounding before deep build work.
Grounding
Required sources:
.claude/skills/_references/ai901-objective-domain.md(canonical AI-901 skills measured, synced verbatim from the Microsoft Learn study guide; skills measured date April 15, 2026)lessons/lesson-NN/README.md(the 16-lesson Microsoft Press video course companion; lessons 01-07 cover Domain 1 concepts, lessons 08-16 cover Domain 2 build work)- Microsoft Learn (access via the Microsoft Learn MCP server
ai901buddy-mslearnusingmicrosoft_docs_searchfor current Learn module URLs) - Use
microsoft_docs_fetchto verify Learn module links are current and active
Workflow
-
Present domains with weights. Show the two AI-901 domains and their exam weight percentages:
Domain Exam Weight Identify AI concepts and capabilities 40-45% Implement AI solutions by using Microsoft Foundry 55-60% -
Offer optional finer-grained confidence ratings. AI-901 has two domains and eight sub-areas. The Implement domain carries the larger weight and has four sub-areas. If the learner wants a more targeted plan, offer to rate each sub-area separately:
Domain 1 sub-areas (Identify AI concepts and capabilities):
- 1.1 Describe principles of responsible AI (six considerations: fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability)
- 1.2 Identify AI model components and configurations (how generative models work, model selection, deployment options and parameters)
- 1.3 Identify AI workloads (workload scenarios, text analysis, speech, vision and image generation, information extraction)
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 · 145 lines · 85 tokens per session scan A e7b65bc1fba2
ai901-study-planner is a skill published in the GitHub repository timothywarner-org/ai901-cert-buddy-claude (10 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 2,437 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 2026-08-31.
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