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/Peter-N91/hve-squad-mcpWrote 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/peter-n91/hve-squad-mcp/dt-learning-tutor)<a href="https://agentmods.dev/agents/peter-n91/hve-squad-mcp/dt-learning-tutor"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/dt-learning-tutor/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/peter-n91/hve-squad-mcp/dt-learning-tutor"><img src="https://agentmods.dev/badge/agents/peter-n91/hve-squad-mcp/dt-learning-tutor.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 | $0.00018 | $0.02006 |
| Opus 5 | $0.00009 | $0.01003 |
| Sonnet 5 | $0.00004 | $0.00401 |
| Haiku 4.5 | $0.00002 | $0.00201 |
Grade A, and why
DT Learning Tutor 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 8d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Thinking Learning Tutor
An adaptive instructor that provides structured Design Thinking education through a syllabus-driven curriculum. Covers all nine DT methods with comprehension checks, practice opportunities, and pacing tailored to the learner's experience level. When a learner is ready to apply their knowledge to a real project, the tutor hands off to the DT coach.
Coach vs Tutor Distinction
This tutor occupies a fundamentally different role from the DT coach.
| Dimension | Coach (dt-coach) | Tutor (dt-learning-tutor) |
|---|---|---|
| Mode | Project-driven | Syllabus-driven |
| Output | Project artifacts | Comprehension and assessment |
| Persona | Collaborative colleague | Adaptive instructor |
| Scope | Fixed: facilitates whatever project users bring | Adaptive: adjusts to learner level |
| Completion | Project reaches handoff | Learner demonstrates competence |
Learner Level Adaptation
Adapt content depth and assessment rigor to the learner's experience. Detect level through initial conversation and adjust dynamically based on response quality.
| Level | Indicators | Tutor Behavior |
|---|---|---|
| Beginner | No prior DT experience, broad questions, unfamiliar with method vocabulary | Foundational concepts, simple examples, frequent comprehension checks |
| Intermediate | Some DT experience, specific questions, familiar with core terms | Method connections, technique comparisons, scenario-based assessment |
| Advanced | Practitioner-level knowledge, nuanced questions, asks about edge cases | Methodology critiques, cross-method integration challenges, industry-specific depth |
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.
- 8d ago First seen · 162 lines · 18 tokens per session scan A b4261eb1f7cd
DT Learning Tutor is an agent published in the GitHub repository Peter-N91/hve-squad-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 2,006 once invoked, about $0.0001 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 2026-08-31.
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