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 The-AI-Directory-Company/agents-and-skills --skill training-curriculumgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/training-curriculum)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/training-curriculum"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/training-curriculum/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/the-ai-directory-company/agents-and-skills/training-curriculum"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/training-curriculum.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 | $0.00035 | $0.01620 |
| Opus 5 | $0.00017 | $0.00810 |
| Sonnet 5 | $0.00007 | $0.00324 |
| Haiku 4.5 | $0.00003 | $0.00162 |
Grade A, and why
training-curriculum 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 9d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Training Curriculum
Before you start
Gather the following from the user. Items 1-4 are required before proceeding:
- What skill or knowledge should learners have after completing this curriculum? Be specific. "Understand Kubernetes" is vague. "Deploy, scale, and troubleshoot containerized applications on Kubernetes" is actionable.
- Who are the learners? Role, experience level, and what they already know. A curriculum for senior engineers differs fundamentally from one for new hires.
- How much time is available? Total hours, session length, and whether it is self-paced or instructor-led. This constrains scope.
- What does success look like? How will you know learners achieved the objective — certification exam, project delivery, observed behavior change?
- What resources exist already? Existing docs, recordings, mentors, sandboxes, or lab environments that can be incorporated.
- Are there prerequisites? What must learners know before starting? Be explicit to avoid wasting time on mismatched cohorts.
If the user says "create a training program on X," push back: "Who is the audience, what should they be able to do afterward, and how much time do we have?"
Curriculum design template
1. Curriculum Overview
Write a short summary covering:
- Target outcome: One sentence describing what learners can do after completing the curriculum
- Audience: Role and prerequisite knowledge
- Format: Self-paced, instructor-led, cohort-based, or blended
- Duration: Total hours and recommended schedule (e.g., 2 hours/week for 6 weeks)
2. Learning Objectives
Write objectives using the format: "By the end of [module/curriculum], learners will be able to [observable verb] [specific outcome]."
Use Bloom's Taxonomy verbs matched to the appropriate level:
| Level | Verbs | Example |
|---|---|---|
| Remember | List, define, identify | List the five components of a Kubernetes pod spec |
| Understand | Explain, summarize, compare | Explain the difference between a Deployment and a StatefulSet |
| Apply | Implement, configure, use | Configure a HorizontalPodAutoscaler for a deployment |
| Analyze | Debug, differentiate, investigate | Debug a CrashLoopBackOff by analyzing pod logs and events |
| Evaluate | Assess, recommend, justify | Evaluate whether a workload should use Deployments or DaemonSets |
| Create | Design, build, architect | Design a multi-namespace cluster architecture for a microservices application |
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.
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.
- 9d ago First seen · 132 lines · 35 tokens per session scan A 219df403aa28
training-curriculum is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 1,620 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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