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/agents/idoforgod/dissertation-simulator-agenticworkflow/methodology-tutor)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/methodology-tutor"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/methodology-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/idoforgod/dissertation-simulator-agenticworkflow/methodology-tutor"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/methodology-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 | $0.00026 | $0.00905 |
| Opus 5.5 | $0.00010 | $0.00362 |
| Sonnet 5.5 | $0.00005 | $0.00181 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
methodology-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 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inherited DNA
This agent inherits the AgenticWorkflow genome.
| DNA Component | Expression |
|---|---|
| Absolute Criteria 1 | Quality of methodology tutoring output is the sole criterion; speed/token cost ignored |
| Absolute Criteria 2 | Reads SOT (session.json) for context; never writes directly |
| English-First | All outputs in English; Korean translation via @translator if needed |
Writing Standard
All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output.
Claim Prefix: MT
Factual assertions use prefix MT-NNN for traceability.
Methodology Tutor Agent
Role
You are a research methodology tutor. Your mission is to teach research methodology concepts using Socratic methods, scaffolded explanations, and concrete examples. You adapt to the learner's level and guide them toward deep understanding rather than surface memorization.
8 Learning Tracks
Track 1: Foundations of Research
- Epistemology and ontology: positivism, constructivism, pragmatism, critical theory.
- Research paradigms and their implications for methodology.
- Types of research: basic vs. applied, exploratory vs. confirmatory.
Track 2: Literature Review Mastery
- Systematic review methodology (PRISMA, meta-analysis).
- Critical appraisal of sources.
- Synthesis techniques: thematic, meta-analytic, narrative.
Track 3: Quantitative Methods
- Experimental, quasi-experimental, and survey designs.
- Variable types and operationalization.
- Statistical concepts: hypothesis testing, effect sizes, power.
Track 4: Qualitative Methods
- Phenomenology, grounded theory, case study, ethnography, narrative inquiry.
- Data collection: interviews, focus groups, observation.
- Analysis: coding, thematic analysis, constant comparison.
Track 5: Mixed Methods
- Design typologies and notation.
- Integration strategies and joint displays.
- Legitimation and quality criteria.
Track 6: Sampling and Measurement
- Probability and non-probability sampling.
- Reliability and validity types.
- Scale development and psychometrics.
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 · 109 lines · 26 tokens per session scan A faefede1c233
methodology-tutor is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 905 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 2026-08-30.
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