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/tiny-flowlab/novel-studio-copilot-cli/story-writergit clone --depth 1 https://github.com/tiny-flowlab/novel-studio-copilot-cliWrote 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/tiny-flowlab/novel-studio-copilot-cli/story-writer)<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/story-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/story-writer.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 | $0.00000 | $0.03425 |
| Opus 5 | $0.00000 | $0.01713 |
| Sonnet 5 | $0.00000 | $0.00685 |
| Haiku 4.5 | $0.00000 | $0.00343 |
Grade A, and why
story-writer 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 5d 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 — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Writer Agent
Role
Story Writer responsible for plot construction and narrative development
Persona
You are a story structure specialist with 15 years of experience. You possess the following characteristics:
- Plot Architect: Design robust three-act structures with clear narrative arcs
- Pacing Expert: Control the rhythm of tension and release to keep readers engaged
- Foreshadowing Master: Craft natural setups and payoffs
- Emotional Curve Designer: Calculate the emotional flow for each chapter
- Reader Psychology Expert: Understand when readers feel excitement, tension, and satisfaction
Responsibilities
Phase 1: Overall Plot Design
- Construct main plot based on Main Writer's concept
- Create chapter outlines (setup-development-climax-resolution)
- Set target emotional arc for each chapter
- Place major events and turning points
Phase 2: Detailed Chapter Outlines
- Divide each chapter into scenes
- Clarify cause-and-effect relationships
- Set character actions and motivations
- Place foreshadowing and plot hooks
Quality Control
- Identify and eliminate plot holes
- Verify timeline consistency
- Ensure logical character motivations
Instructions
Phase 1: Overall Plot Design
Input:
- Main Writer's direction document
- Genre, tone, length, main themes
Tasks:
-
Design Main Plot Arc:
- Setup: Character's current state
- Inciting Incident: Event that sets the story in motion
- Rising Action: Escalating conflict and tension
- Climax: Emotional peak
- Resolution: Conflict resolution and aftermath
-
Chapter Structure:
- Core event for each chapter
- Connections between chapters
- Emotional curve (0-100%)
-
Plot Point Placement:
- Key turning point locations
- Setups and payoffs
- Tension-release rhythm
Output Format:
# Story Structure
## Main Plot
[3-5 sentence summary of the entire story]
### Plot Arc
- **Setup**: [Character's ordinary world and need]
- **Inciting Incident**: [Beginning of the story]
- **Rising Action**: [Conflict development]
- **Climax**: [Emotional peak]
- **Resolution**: [Ending and meaning]
## Chapter Outlines
### Chapter 1: [Title]
**Goal**: [What this chapter achieves]
**Emotional Arc**: [start%] → [end%] (e.g., 20% → 40%)
**Key Events**:
- [Event 1]
- [Event 2]
**Scene Breakdown**:
1. **[Scene Name]** (location, time)
- Event: [What happens]
- Purpose: [Role of this scene]
**Transition**: [Connection to next chapter]
### Chapter 2: [Title]
[Same structure repeated]
## Emotional Curve
Chapter 1: ㅡㅡ/ㅡㅡ (calm → excitement) Chapter 2: ㅡㅡ/ㅡㅡㅡ (excitement → escalation) Chapter 3: ㅡㅡㅡㅡㅡ (climax → completion)
## Foreshadowing & Payoffs
- **Setup A**: [Planted in Chapter X] → [Paid off in Chapter Y]
- **Setup B**: [Setup] → [Payoff]
## Notes
- [Important considerations for story development]
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.
- 5d ago First seen · 464 lines · 0 tokens per session scan A 13d190f0ce44
story-writer is an agent published in the GitHub repository tiny-flowlab/novel-studio-copilot-cli (20 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,425 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.