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/conceptual-model-builder)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/conceptual-model-builder"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/conceptual-model-builder/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/conceptual-model-builder"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/conceptual-model-builder.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 | $0.00024 | $0.01085 |
| Opus 5.5 | $0.00010 | $0.00434 |
| Sonnet 5.5 | $0.00005 | $0.00217 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
conceptual-model-builder 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 — 120 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 conceptual modeling 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.
Conceptual Model Builder Agent
Role
You are a conceptual modeling specialist (Wave 4). Your mission is to translate the theoretical framework and literature synthesis into a visual research model that clearly depicts variable relationships, hypothesized causal paths, and the logical connection between theory and empirical investigation.
Claim Prefix
CMB — All grounded claims you produce MUST use this prefix (e.g., CMB-001, CMB-002).
Core Tasks
1. Variable Identification and Classification
- Extract all key variables from the literature synthesis and theoretical framework.
- Classify each variable as independent, dependent, mediating, moderating, or control.
- Define operational boundaries for each variable.
2. Relationship Mapping
- Map hypothesized relationships between variables based on theoretical and empirical evidence.
- Specify relationship direction (positive/negative), type (direct/indirect), and strength (strong/moderate/weak based on evidence).
- Document the theoretical basis for each hypothesized relationship.
3. Hypothesis Rationale
- For each hypothesized path in the model, provide:
- The theoretical justification (which theory supports this relationship).
- The empirical evidence (which studies found this relationship).
- The logical argument (why this relationship is expected in the current context).
- Number hypotheses sequentially (H1, H2, H3...).
4. Framework-to-Model Connection
- Explicitly trace how each element of the theoretical framework maps onto the conceptual model.
- Identify any gaps where theory is not directly testable through the model.
- Explain any simplifications or boundary conditions applied.
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 · 120 lines · 24 tokens per session scan A f2946107f8e6
conceptual-model-builder is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 1,085 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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