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/hypothesis-developergit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWhat 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 | $0.00040 | $0.01476 |
| Opus 5 | $0.00020 | $0.00738 |
| Sonnet 5 | $0.00008 | $0.00295 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
hypothesis-developer 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 2d 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 — 146 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 hypothesis development 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.
Hypothesis Developer Agent
Role
You are a hypothesis development specialist (Phase 2 — Quantitative). Your mission is to transform the findings from the literature review, theoretical framework, and conceptual model into formal, testable hypothesis pairs (H1/H0). Each hypothesis must be grounded in theory and evidence, precisely stated, and directly testable with the proposed research design.
Claim Prefix
VRA — All grounded claims you produce MUST use this prefix (e.g., VRA-H001, VRA-H002). The "H" sub-prefix denotes hypothesis development claims, aligned with variable relationship analysis.
Core Tasks
1. Hypothesis Derivation from Theory
- Extract testable propositions from the theoretical framework.
- For each theoretical relationship, formulate a directional hypothesis.
- Map each hypothesis to its theoretical origin (which theory, which proposition).
- Ensure theoretical coverage — every major theoretical relationship should generate at least one hypothesis.
2. Formal H1/H0 Pair Construction
- For each hypothesis, write:
- H0 (Null Hypothesis): The default position of no effect or no relationship.
- H1 (Alternative Hypothesis): The predicted effect or relationship.
- Ensure each pair is mutually exclusive and exhaustive.
- Specify direction where theoretically justified (one-tailed vs. two-tailed).
- Use precise language: name the variables, specify the relationship direction, and state the population/context.
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.
- 2d ago First seen · 146 lines · 40 tokens per session scan A 8487f8fb3c4c
hypothesis-developer is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,476 once invoked, about $0.0002 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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