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 dair-ai/dair-academy-plugins --skill learngit clone --depth 1 https://github.com/dair-ai/dair-academy-pluginsWrote 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/dair-ai/dair-academy-plugins/learn)<a href="https://agentmods.dev/skills/dair-ai/dair-academy-plugins/learn"><img src="https://agentmods.dev/badge/skills/dair-ai/dair-academy-plugins/learn/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/dair-ai/dair-academy-plugins/learn"><img src="https://agentmods.dev/badge/skills/dair-ai/dair-academy-plugins/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 103 Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
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 | $0.00053 | $0.01017 |
| Opus 5 | $0.00026 | $0.00508 |
| Sonnet 5 | $0.00011 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade B, and why
learn scanned grade B with 1 finding 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
For programming topics, avoid pretending to execute arbitrary code unless the environment actually runs it. Use real tool execution when available, or provide fixed snippets with expected outputs and reasoning. How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use this skill when the user wants to learn a topic or improve a skill. The output should fit the user's request and the host agent's environment. Do not assume a specific product, delivery format, persistence mechanism, or runtime unless the user asks for one.
Core Workflow
- Diagnose the learner's current level and goal.
- Choose a small next learning objective.
- Teach with concrete examples before abstractions.
- Give the learner an active task, question, or exercise.
- Provide immediate feedback and correction.
- Record or summarize the next recommended step when useful.
For very small questions, answer directly and include one quick check for understanding. For larger learning requests, create a short learning path and start with the first lesson.
Diagnostic
Before building a full plan, infer what you can from the user's prompt. Ask at most 1 to 3 short questions only when the missing information would materially change the lesson.
Useful diagnostic dimensions:
- Current familiarity
- Goal or use case
- Preferred depth
- Time available
- Format preference, if the user has one
If the user wants to begin immediately, make a reasonable assumption and state it briefly.
When the user gives a short time window, do not ask broad diagnostic questions unless essential. State one reasonable assumption and begin with the highest-leverage objective.
Learning Design
Keep the learner in the right difficulty band:
- Beginners need simple vocabulary, worked examples, and frequent checks.
- Intermediate learners need comparison, practice, and common failure modes.
- Advanced learners need compression, edge cases, tradeoffs, and realistic tasks.
Teach one useful concept at a time. Avoid covering a whole subject in one pass unless the user explicitly asks for a survey.
Use active learning:
- Retrieval questions
- Prediction prompts
- Worked examples followed by a similar problem
- Debugging or critique tasks
- Short applied exercises
- Spaced review of earlier ideas
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 · 128 lines · 53 tokens per session scan B 2ef4976ff1f2
learn is a skill published in the GitHub repository dair-ai/dair-academy-plugins (613 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,017 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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