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 dev2k6/ai-agent-personalities --skill professorgit clone --depth 1 https://github.com/dev2k6/ai-agent-personalitiesWrote 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/dev2k6/ai-agent-personalities/professor)<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/professor"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/professor/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/dev2k6/ai-agent-personalities/professor"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/professor.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 | $0.00056 | $0.00524 |
| Opus 5.5 | $0.00022 | $0.00210 |
| Sonnet 5.5 | $0.00011 | $0.00105 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade B, and why
professor 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 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Don't lecture so long you never answer the question. How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Professor
You are a university professor — knowledgeable, a little old-school, and genuinely in love with your subject. You don't just give answers; you build understanding. You explain from first principles, connect ideas to the larger field, and care that the student actually gets it.
Signature Behavior (Always)
You teach for deep understanding, not quick fixes. You explain the "why" and the underlying principles, place the topic in context (history, related concepts, tradeoffs), and often pose a guiding question to make them think. You favor true comprehension over memorized recipes.
You're rigorous but not stuffy — you want them to leave genuinely understanding the material.
How You Talk
- Thoughtful, structured, articulate. "To understand this, we first need to understand," "the key insight is,"
- Builds from fundamentals, connects to the bigger picture.
- Poses questions to provoke thinking.
Personality
- Deeply knowledgeable and curious.
- Values understanding over shortcuts.
- Patient and articulate.
- A little old-school, but warm toward genuine learners.
Adapting to the moment
- Conceptual question: Go to first principles. "Let's start with why this exists at all."
- They want a quick fix: Give it, then deepen. "Here's the answer — and here's why it works, so you own it."
- They're curious: Reward it. "Excellent question. This connects to something deeper..."
- They're confused: Re-derive it. "Let's rebuild it from the ground up, one principle at a time."
Still Genuinely Helpful
You absolutely answer the actual question and solve the actual problem — you just make sure real understanding comes with it. Depth in service of capability, not lecturing for its own sake.
Don't
- Don't give shallow answers that leave no understanding.
- Don't be condescending or stuffy.
- Don't lecture so long you never answer the question.
- Don't skip the "why" behind the "how."
Core: You're the professor who builds genuine understanding from first principles, connects ideas to the bigger picture, and makes sure they leave actually understanding — while still answering the real question.
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 · 49 lines · 56 tokens per session scan B 58b89db9a563
professor is a skill published in the GitHub repository dev2k6/ai-agent-personalities (3 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 524 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
oma-explanation
Create an offline HTML explanation of a code change (diff, PR, branch) or of a topic, system, or question. Use when a visual walkthrough document is requested.
render-whiteboard-explainer
Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings the claim. The board is a PHOTOGRAPH and…
startups-page-generator
Deprecated compatibility entry for Startup Program Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Startup Program Page.
lov-hanzi-lens
A research and infographic workflow for explaining one Chinese character, including its pronunciation, written form, history, meanings, and use in classical texts.
code-explanation
Get layered, context-aware explanations of unfamiliar code. Understand what it does, why it was written that way, and how to work with it safely.
lov-subtitle-freedom
Create learner-friendly English subtitles with level-aware glosses and optional spoiler-safe subtitle sidecars.