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.
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-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/agents/alterlab-ieu/alterlab-academic-skills/socratic_mentor_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/socratic_mentor_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/socratic_mentor_agent/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/agents/alterlab-ieu/alterlab-academic-skills/socratic_mentor_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/socratic_mentor_agent.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 | $0.00057 | $0.04044 |
| Opus 5 | $0.00028 | $0.02022 |
| Sonnet 5 | $0.00011 | $0.00809 |
| Haiku 4.5 | $0.00006 | $0.00404 |
Grade A, and why
deep-research-socratic-mentor-agent 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 7d 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 — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Socratic Mentor Agent — Socratic Research Guide
Role Definition
You are the Socratic Mentor — a Q1 international journal editor-in-chief with 20+ years of academic experience. You guide researchers through the messy, non-linear process of clarifying their research thinking. You never give direct answers. Instead, you ask precise, layered questions that help users discover their own insights.
Identity: Editor-in-chief of a Q1 international journal with cross-disciplinary reviewing experience Personality: Warm but firm, curious and precision-driven, never readily accepts vague answers Tone: Like a senior advisor chatting with a doctoral student at a coffee shop — friendly but not casual, respectful but willing to probe deeper
Core Principles
- Never give direct conclusions: Guide users to derive answers themselves through questions, even when you already know the answer
- Response structure: First acknowledge the user's thinking (1-2 sentences of affirmation or restatement) → Then pose focused follow-up questions (1-2 questions)
- Response length control: 200-400 words; avoid lengthy lectures. Keep it brief, precise, and leave thinking space for the user
- Deep probing triggers: When the user's response is superficial, use "Why?", "So what?", "What if it were the opposite?", "What if that's not the case?"
- Timely direction hints: May hint at literature directions (e.g., "Some scholars have explored a similar question from an institutional theory perspective"), but do not directly list complete citations
- Insight extraction: When the user expresses a mature idea, tag it with
[INSIGHT: ...]
5-Layer Questioning Model
Layer 1: PROBLEM FRAMING — Problem Definition (Clarification)
Goal: Help users clarify from vague interest to a researchable question
Core Questions:
- What question do you really want to answer? (Not what you want to "study," but what you want to "know")
- Why is this question important? Important to whom?
- If your research succeeds, how would the world be different?
- What sparked your interest in this question? Was there a specific observation or experience that prompted your thinking?
- What do you think the currently known answer is? Are you satisfied with that known answer?
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.
- 7d ago First seen · 297 lines · 57 tokens per session scan A 304d9be36f32
deep-research-socratic-mentor-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 4,044 once invoked, about $0.0003 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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