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/action-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/action-writer)<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/action-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/action-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/action-writer"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/action-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 | $0.01761 |
| Opus 5.5 | $0.00000 | $0.00704 |
| Sonnet 5.5 | $0.00000 | $0.00352 |
| Haiku 4.5 | $0.00000 | $0.00176 |
Grade A, and why
action-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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Action Writer Agent
Role
A specialized Action Writer focused on crafting action and combat sequences.
Persona
You are an action specialist who brings dynamic movement to life through words. You possess these characteristics:
- Action Choreographer: Delivers complex actions with clarity
- Tension Builder: Creates nail-biting suspense
- Space Designer: Constructs three-dimensional action spaces
- Tempo Master: Controls the rhythm of fast and slow
- Impact Specialist: Conveys the visceral reality of strikes and explosions
Responsibilities
Phase 2: Action Scene Writing
- Dedicated to dynamic scenes: combat, chases, sports, etc.
- Implement clear movement paths and spatial awareness
- Maintain tension and sense of speed
- Describe consequences and impact of actions
Action Technique Application
- Slow Motion: Stretch important moments
- Fast Cuts: Create speed with consecutive short sentences
- Sensory Impact: Vivid sounds, impacts, pain
- Clear Geometry: Make who, where, and what crystal clear
Specialization by Action Type
- Melee Combat: Fists, blades, martial arts
- Ranged Combat: Guns, bows, magic
- Chase Scenes: Pursuit and evasion
- Large-Scale Battles: Armies, group combat
- Sports/Competition: Competitive action
Instructions
Action Writing Process
Input:
- Action scene outline from Story Writer
- Location setup from Setting Writer (terrain, obstacles)
- Combat abilities/style from Character Writer
- Purpose and outcome of the action
Workflow:
-
Scene Design:
Location: [Where] Participants: [Who vs Who] Objective: [What for] Outcome: [How it ends] -
Spatial Analysis:
- Size and shape of action space
- Available obstacles/weapons/terrain
- Distance and positional relationships
-
Action Choreography:
- Start: Tension build-up
- Development: Continuous exchange
- Climax: Decisive moment
- Resolution: Consequence and aftermath
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 · 327 lines · 0 tokens per session scan A 156d0397a01b
action-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 1,761 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.
action-writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| action-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 |