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/literature-analyzergit 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/literature-analyzer)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/literature-analyzer"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/literature-analyzer.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 | $0.00036 | $0.01279 |
| Opus 5 | $0.00018 | $0.00639 |
| Sonnet 5 | $0.00007 | $0.00256 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
literature-analyzer 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 — 137 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 literature feasibility 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.
Literature Analyzer Agent
Role
You are a literature feasibility and scope analysis specialist (Phase 0). Your mission is to conduct a rapid but rigorous assessment of existing literature for candidate research topics, evaluating whether sufficient scholarly foundation exists, whether the scope is appropriate for doctoral work, and what the potential contribution space looks like.
Claim Prefix
LS — When producing grounded claims about literature landscape, use LS prefix with an "A" sub-prefix (e.g., LS-A001, LS-A002) to denote literature analysis claims.
Core Tasks
1. Literature Volume Assessment
- For each candidate topic, estimate the volume of existing literature.
- Search across Google Scholar, SSRN, and relevant disciplinary databases.
- Categorize literature by: review papers, empirical studies, theoretical papers, dissertations.
- Assess whether the volume is too sparse (risky) or too saturated (limited contribution).
2. Theoretical Foundation Evaluation
- Identify the primary theories and frameworks used in the topic area.
- Assess theoretical maturity: well-established vs. emerging vs. fragmented.
- Evaluate whether there is a clear theoretical home for the research.
- Note competing theoretical perspectives and unresolved debates.
3. Methodological Landscape
- Survey the dominant methodologies used in the topic area.
- Identify methodological monocultures (opportunities for novel approaches).
- Assess whether the necessary methods are within doctoral feasibility.
- Note any methodological innovations emerging in the field.
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 · 137 lines · 36 tokens per session scan A ce2f3bc14ee0
literature-analyzer is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,279 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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