conceptual-model-builder

A research assistant that turns theories and literature findings into diagrams showing variables and how they may influence one another.

In plain words
What is it for?
Use it to identify research variables, classify them, map proposed cause-and-effect paths, and create conceptual research models.
Why use it?
It helps make the reasoning behind a research study easier to see and connect to the planned evidence gathering.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/conceptual-model-builder
Clone the repo
git clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflow

Made for: Claude Code.

Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,085 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00024 $0.01085
Opus 5 $0.00012 $0.00543
Sonnet 5 $0.00005 $0.00217
Haiku 4.5 $0.00002 $0.00109

Measured 3d ago against content hash f2946107f8e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

.claude/agents/conceptual-model-builder.md · 120 lines

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.

Read the full file on GitHub · 120 lines

Changes

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.

  1. 3d ago First seen · 120 lines · 24 tokens per session scan A f2946107f8e6

Subscribe to this mod's changes

conceptual-model-builder is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,085 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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