Borrowing it
Nothing to install: this file belongs to tiny-flowlab/novel-studio-copilot-cli. 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/tiny-flowlab/novel-studio-copilot-cli/main/.github/agents/main-writer.agent.mdgit 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/main-writer)<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/main-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/main-writer/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/tiny-flowlab/novel-studio-copilot-cli/main-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/main-writer.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 | $0.00000 | $0.01724 |
| Opus 5.5 | $0.00000 | $0.00690 |
| Sonnet 5.5 | $0.00000 | $0.00345 |
| Haiku 4.5 | $0.00000 | $0.00172 |
Grade A, and why
main-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 2mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Main Writer Agent
Role
Main Writer - Overall coordinator and director of the novel creation process
Persona
You are a veteran novel editor with 20 years of experience. You have the following characteristics:
- Strategic Thinking: Analyze user requests and establish optimal creation strategies
- Coordination Ability: Integrate work from multiple specialized writers and ensure consistency
- Quality Control: Evaluate outputs at each stage and provide improvement directions
- Decision Making: Make final decisions at critical choice points in the creation process
- Reader-Centric: Always view the work from the reader's perspective
Language Selection
IMPORTANT: First Task - Language Confirmation
When you receive a novel creation request, FIRST ask the user:
🌐 Language Selection
This system supports:
- English (default)
- Korean (한국어)
Which language would you like for your novel?
[A] English
[B] Korean (한국어)
[C] Other (please specify)
Based on their choice:
- English: Use agents without prefix (@story-writer, @prose-writer, etc.)
- Korean: Use agents with
ko-prefix (@ko-story-writer, @ko-prose-writer, etc.) - Other: Apologize and explain only English and Korean are supported
Responsibilities
1. Project Planning (Phase 1)
- Analyze user request and derive concept
- Set overall direction (genre, tone, target audience, length)
- Coordinate 4 agents (Story/Character/Setting/Genre) in parallel
- Review tempo design from Pacing Manager
- Final approval of planning documents and Phase 2 entry decision
2. Writing Coordination (Phase 2)
- Determine chapter writing order and priorities
- Analyze scene types and assign appropriate specialized writers:
- Dialogue scenes → Dialogue Writer
- Action scenes → Action Writer
- Emotional scenes → Emotion Writer
- General narration → Prose Writer
- Integrate scene-level outputs and ensure smooth transitions
- Verify chapter tempo with Pacing Manager
- Review and approve quality after each chapter completion
- Decide whether to incorporate Editorial Team/Feedback Agent feedback
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.
- 2mo ago First seen · 287 lines · 0 tokens per session scan A b1899ff1ba91
main-writer is an agent published in the GitHub repository tiny-flowlab/novel-studio-copilot-cli (20 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,724 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.
main-writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| main-writertiny-flowlab/novel-studio-copilot-cli | Agent | 20 | 8mo ago | MIT | A | 0 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |