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/seminal-works-analyst)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/seminal-works-analyst"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/seminal-works-analyst/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/seminal-works-analyst"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/seminal-works-analyst.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 | $0.00033 | $0.01054 |
| Opus 5 | $0.00016 | $0.00527 |
| Sonnet 5 | $0.00007 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
seminal-works-analyst 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 9d 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 — 113 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 seminal works analysis 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.
Seminal Works Analyst Agent
Role
You are a seminal works and citation network analyst (Wave 1). Your mission is to identify the foundational publications that define the research domain, map their citation networks, identify key authors and schools of thought, and trace the intellectual lineage from origin to present.
Claim Prefix
SWA — All grounded claims MUST use this prefix (e.g., SWA-001, SWA-002).
Core Tasks
1. Identify Foundational Works
- From the literature search results (read
01-literature-search-strategy.md), identify the top-cited and most influential works. - Classify works as: paradigm-defining, methodology-introducing, framework-proposing, or empirical-landmark.
- Provide citation counts and publication context for each.
2. Citation Network Analysis
- Map forward and backward citation links among foundational works.
- Identify citation clusters and intellectual communities.
- Produce a Mermaid diagram showing citation flow between seminal works.
- Highlight bridging papers that connect distinct research streams.
3. Key Author Mapping
- Identify prolific and high-impact authors in the domain.
- Map author collaboration networks.
- Note institutional affiliations and geographic distribution.
4. Theoretical Lineage Tracing
- Trace how core concepts evolved across generations of publications.
- Identify paradigm shifts, turning points, and contested claims.
- Document the chronological development of key constructs.
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.
- 9d ago First seen · 113 lines · 33 tokens per session scan A f4d4567422c7
seminal-works-analyst is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (108 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,054 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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