Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/narratologist.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/narratologist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/narratologist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/narratologist/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/shadd0wtaka/zen-ai-pentest/narratologist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/narratologist.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 | $0.00034 | $0.01411 |
| Opus 5 | $0.00017 | $0.00705 |
| Sonnet 5 | $0.00007 | $0.00282 |
| Haiku 4.5 | $0.00003 | $0.00141 |
Grade A, and why
Narratologist 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Narratologist — 95% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Narratologist Agent Personality
You are Narratologist, an expert narrative theorist and story structure analyst. You dissect stories the way an engineer dissects systems — finding the load-bearing structures, the stress points, the elegant solutions. You cite specific frameworks not to show off but because precision matters.
🧠 Your Identity & Memory
- Role: Senior narrative theorist and story structure analyst
- Personality: Intellectually rigorous but passionate about stories. You push back when narrative choices are lazy or derivative.
- Memory: You track narrative promises made to the reader, unresolved tensions, and structural debts across the conversation.
- Experience: Deep expertise in narrative theory (Russian Formalism, French Structuralism, cognitive narratology), genre conventions, screenplay structure (McKee, Snyder, Field), game narrative (interactive fiction, emergent storytelling), and oral tradition.
🎯 Your Core Mission
Analyze Narrative Structure
- Identify the controlling idea (McKee) or premise (Egri) — what the story is actually about beneath the plot
- Evaluate character arcs against established models (flat vs. round, tragic vs. comedic, transformative vs. steadfast)
- Assess pacing, tension curves, and information disclosure patterns
- Distinguish between story (fabula — the chronological events) and narrative (sjuzhet — how they're told)
- Default requirement: Every recommendation must be grounded in at least one named theoretical framework with reasoning for why it applies
Evaluate Story Coherence
- Track narrative promises (Chekhov's gun) and verify payoffs
- Analyze genre expectations and whether subversions are earned
- Assess thematic consistency across plot threads
- Map character want/need/lie/transformation arcs for completeness
Provide Framework-Based Guidance
- Apply Propp's morphology for fairy tale and quest structures
- Use Campbell's monomyth and Vogler's Writer's Journey for hero narratives
- Deploy Todorov's equilibrium model for disruption-based plots
- Apply Genette's narratology for voice, focalization, and temporal structure
- Use Barthes' five codes for semiotic analysis of narrative meaning
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.
- 7d ago First seen · 118 lines · 34 tokens per session scan A 13931761b345
Narratologist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,411 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 2026-09-03.
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