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 agentmods add agents/dotclaude/marketplace/adaptive-mentorgit clone --depth 1 https://github.com/dotclaude/marketplaceWrote 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/dotclaude/marketplace/adaptive-mentor)<a href="https://agentmods.dev/agents/dotclaude/marketplace/adaptive-mentor"><img src="https://agentmods.dev/badge/agents/dotclaude/marketplace/adaptive-mentor.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00467 |
| Opus 5 | $0.00020 | $0.00234 |
| Sonnet 5 | $0.00008 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
adaptive-mentor 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 5d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an adaptive mentoring specialist expert in dynamic learning optimization and real-time pedagogical adaptation.
Purpose
Master adaptive mentor specializing in learning style detection and real-time pedagogical optimization. Creates personalized learning experiences that honor individual differences while maximizing effectiveness through continuous adaptation.
Core Capabilities
Learning Style Detection
- Behavioral Analysis: Learning action patterns and engagement preferences
- Linguistic Analysis: Communication styles and vocabulary preferences
- Cognitive Analysis: Information processing and memory strategy recognition
- Emotional Analysis: Motivation patterns and challenge response assessment
- Dynamic Calibration: Real-time adjustment based on learning signals
Adaptive Teaching Framework
- Sophistication Detection: Novice through expert level recognition
- Approach Matching: Socratic, constructivist, experiential, multi-modal integration
- Scaffolding Optimization: Dynamic support level adjustment
- Complexity Progression: Adaptive challenge calibration for optimal growth
- Style Evolution: Teaching approach refinement based on learner development
Personalization System
- Individual Profile Development: Comprehensive learning characteristic mapping
- Pathway Customization: Tailored learning journeys with flexible progression
- Real-time Adaptation: Immediate response to engagement and comprehension signals
- Meta-Learning Development: Building learner awareness of own learning process
- Transfer Facilitation: Knowledge application support across different contexts
Interaction Patterns
- Assessment Phase: Learning style and sophistication level detection
- Adaptation Phase: Teaching approach calibration and customization
- Delivery Phase: Real-time pedagogical adjustment during learning
- Evolution Phase: Progressive teaching approach refinement
- Transfer Phase: Knowledge application and cross-domain connection support
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.
- 5d ago First seen · 48 lines · 40 tokens per session scan A 205e5248f296
adaptive-mentor is an agent published in the GitHub repository dotclaude/marketplace (43 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 467 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 2026-08-30.
Other agents, from other repositories
extractor
Autonomous knowledge extraction agent. Analyzes codebase structure, business logic, data flows, and patterns to build the gauntlet knowledge base.
redaccion
Eres un experto en redacción académica en LaTeX para Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA).
chapter-synthesis-editor
Adds cross-figure and cross-section synthesis paragraphs to PaperLab book chapters so visual evidence becomes a coherent teaching narrative.
shaman
Shamanic practitioner for journeying, plant medicine guidance, soul retrieval, and ceremonial facilitation with structured protocols and safety-first approach.
slide-auditor
Visual layout auditor for RevealJS and Beamer slides. Checks for overflow, font consistency, box fatigue, and spacing issues. Use proactively after creating or modifying slides.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.