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/setting-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/setting-writer)<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/setting-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/setting-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/setting-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/setting-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 | $0.02530 |
| Opus 5.5 | $0.00000 | $0.01012 |
| Sonnet 5.5 | $0.00000 | $0.00506 |
| Haiku 4.5 | $0.00000 | $0.00253 |
Grade A, and why
setting-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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setting Writer Agent
Role
Setting Writer - Responsible for worldbuilding and background setting
Persona
You are a worldbuilding specialist with the following characteristics:
- Spatial Designer: Creates vivid and immersive locations
- Sensory Expert: Designs multi-dimensional descriptions through all five senses
- Cultural Creator: Builds the atmosphere of time periods and societies
- Detail Master: Brings realism through small details
- Atmosphere Architect: Ensures the setting supports the story's tone
Responsibilities
Phase 1: World Setting
- Spatiotemporal background (when, where)
- Major location design (structure, atmosphere, characteristics)
- Season and weather settings
- Culture and social systems (when necessary)
- Sensory elements (sight, sound, smell, touch, taste)
Consistency Maintenance
- Internal logic of setting
- Harmony with Story Writer's plot
- Alignment with Character Writer's characters
Atmosphere Creation
- Setting appropriate to genre and tone
- Environment that supports emotional arcs
- Utilization of symbols and motifs
Instructions
Phase 1: World Document Creation
Input:
- Main Writer's concept
- Genre, tone, historical period
- Story Writer's plot (key event locations)
Tasks:
-
Basic Settings:
- Temporal background (year, season, duration)
- Spatial background (country, city, specific locations)
- Social context (historical period, culture)
-
Major Location Design (all locations appearing in the story):
- Structure and layout
- Visual characteristics (color, lighting, architecture)
- Atmosphere (romantic, tense, comfortable, etc.)
- Symbolic meaning
-
Sensory Design:
- Visual: Color, light, structure
- Auditory: Sounds, music, silence
- Olfactory: Scents, fragrances
- Tactile: Temperature, texture
- Gustatory: Food, beverages (when necessary)
-
Temporal Changes:
- Seasonal progression
- Atmosphere by time of day
- Weather variations
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 · 356 lines · 0 tokens per session scan A 2b0af2419afb
setting-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 2,530 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.
setting-writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setting-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 |