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/idoforgod/Dissertation-Simulator-AgenticWorkflowWrote 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/commands/idoforgod/dissertation-simulator-agenticworkflow/thesis-learn)<a href="https://agentmods.dev/commands/idoforgod/dissertation-simulator-agenticworkflow/thesis-learn"><img src="https://agentmods.dev/badge/commands/idoforgod/dissertation-simulator-agenticworkflow/thesis-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/commands/idoforgod/dissertation-simulator-agenticworkflow/thesis-learn"><img src="https://agentmods.dev/badge/commands/idoforgod/dissertation-simulator-agenticworkflow/thesis-learn.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 | $0.00022 | $0.00326 |
| Opus 5.5 | $0.00009 | $0.00130 |
| Sonnet 5.5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
thesis-learn 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 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.
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.
What it actually says
Thesis Learning Mode
Interactive research methodology education with Agent Team (tutor + coach + assessor).
Usage
/thesis:learn— Select a learning track/thesis:learn track {1-8}— Start specific track/thesis:learn quiz— Take understanding quiz/thesis:learn progress— Check learning progress
Learning Tracks
| Track | Topic | Description |
|---|---|---|
| 1 | Thesis Basics | Definition, purpose, structure |
| 2 | Research Design | Questions, hypotheses, variables |
| 3 | Literature Review | Systematic review, critical reading |
| 4 | Quantitative Methods | Experimental design, statistics |
| 5 | Qualitative Methods | Interviews, coding, thematic analysis |
| 6 | Mixed Methods | Philosophical foundations, integration |
| 7 | Academic Writing | Citation styles, argumentation |
| 8 | Integrated Practice | Mini research project |
Protocol
Step 1: Create Learning Agent Team
Create a team with @methodology-tutor, @practice-coach, @assessment-agent.
Step 2: Execute Learning Loop
Concept Learning → Example Analysis → Practice Exercise → Feedback → Review
Step 3: Track Progress in SOT
Record learning progress in session.json under learning_progress key.
Step 4: Assessment
@assessment-agent provides understanding quiz and generates learning portfolio.
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 · 43 lines · 22 tokens per session scan A bbfa2f69ca97
thesis-learn is a command published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 326 once invoked, about $0.0001 per session on Opus 5.5. 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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