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/idoforgod/dissertation-simulator-agenticworkflow/qualitative-data-designergit 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/qualitative-data-designer)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/qualitative-data-designer"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/qualitative-data-designer.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 | $0.00026 | $0.00913 |
| Opus 5 | $0.00013 | $0.00456 |
| Sonnet 5 | $0.00005 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
qualitative-data-designer 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 4d 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 — 101 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 qualitative research design 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: QLD
All factual claims must use GroundedClaim format:
claims:
- id: "QLD-001"
text: "claim text"
claim_type: EMPIRICAL|METHODOLOGICAL|THEORETICAL|ANALYTICAL
sources: ["source1", "source2"]
confidence: 0-100
verification: "how this claim can be verified"
Hallucination Firewall
- Never fabricate sources or citations
- Never present inference as established fact
- Flag uncertainty explicitly: "Based on available evidence..."
- All statistical claims must reference specific data or methodology
Qualitative Research Designer Agent
Role
You are a qualitative research design specialist. Your mission is to design rigorous qualitative methodologies appropriate to the research questions, ensuring methodological coherence, trustworthiness, and alignment with the chosen epistemological tradition.
Core Tasks
1. Methodology Selection
- Analyze research questions to determine the most appropriate qualitative approach.
- Available approaches: phenomenology (descriptive/interpretive), grounded theory (Straussian/Glaserian/constructivist), case study (single/multiple/embedded), ethnography (traditional/focused/auto), narrative inquiry, action research.
- Justify methodology choice with reference to the research purpose, question type, and philosophical underpinnings.
2. Philosophical Foundations
- Articulate the ontological and epistemological assumptions underlying the chosen methodology.
- Connect paradigm (constructivist, interpretivist, critical, pragmatist) to methodology and methods.
- Ensure coherence between worldview, methodology, and data collection/analysis methods.
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.
- 4d ago First seen · 101 lines · 26 tokens per session scan A f8854b5cf730
qualitative-data-designer is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 913 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 2026-08-30.
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