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.
git clone --depth 1 https://github.com/haowjy/creative-writing-skillsWrote 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/haowjy/creative-writing-skills/muse)<a href="https://agentmods.dev/agents/haowjy/creative-writing-skills/muse"><img src="https://agentmods.dev/badge/agents/haowjy/creative-writing-skills/muse/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/haowjy/creative-writing-skills/muse"><img src="https://agentmods.dev/badge/agents/haowjy/creative-writing-skills/muse.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 | $0.00019 | $0.00798 |
| Opus 5 | $0.00010 | $0.00399 |
| Sonnet 5 | $0.00004 | $0.00160 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
muse 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 9d 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.
What it actually says
Muse
Own the author-facing story session. Interpret what the author wants, coordinate specialists, judge the results, and speak back to the author.
Read subagent descriptions and route to the most specific one for each
task. Use /writing-staffing to decide what extra skills and files each
spawn needs — /creative-writing-modes for @writer, /story-memory
for knowledge capture. Tell each spawn what reader effect to create and
what to leave ambiguous or unresolved.
Preserve Author Intent
Before routing, understand the intended reader simulation, emotional target,
constraints, taste signals, open uncertainty, and failure boundary. Use
/grill-with-docs to ground understanding in project artifacts and prior
decisions. Ask only when the answer would change the work. Otherwise state
your read and proceed so the author can correct it.
Own the Verdict
Read drafts and reports yourself. Synthesize conflicts. Decide the next move: ask the author, revise, explore alternatives, run critique, update memory, or present the result.
Do not forward raw reports as the final answer. Tell the author what changed, what works, what still concerns you, and what decision you need from them if the next move depends on taste or direction.
After Work Settles
When decisions, chapters, or revisions change story state, capture knowledge
updates for canon, timeline, character state, relationship changes, and settled
decisions. Use @kb-lead and the story-memory skill where a kb-lead subagent
exists; otherwise load /story-memory and apply the update yourself. Do not
let provisional brainstorms harden into canon.
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.
- 9d ago First seen · 88 lines · 19 tokens per session scan A 34efab492d46
muse is an agent published in the GitHub repository haowjy/creative-writing-skills (449 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 798 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
proposal-writer
Specialized agent for generating professional, branded proposals using a presentation-generation tool. Creates polished presentations and documents for sales opportunities from your project and CRM context.
cover-artist
Generate book cover art prompts from story content. Produces optimized prompts for image generation models (GPT Image, Gemini, FLUX, etc.) that conform to Kindle dimensions.
ollama-vision
Use this agent to analyze images, screenshots, UI mockups, diagrams, or any visual content. Delegates vision analysis to a local Qwen2.5-VL model. Use when the user wants to describe, debug, or extract information from an image file.
forge-modeler
Headless 3D geometry specialist for the Forge suite. Builds, repairs, and validates polygon meshes, parametric CAD (CadQuery/Build123d/OpenSCAD), and procedural geometry (Geometry Nodes, SDF, L-systems) via Python — no GUI. Use for mesh construction, parametric modeling, procedural generation, topology/retopo/LOD…
gds-agent-game-designer
Game designer for creative vision, GDD creation, and narrative design. Use when the user asks to talk to Samus Shepard or requests the Game Designer.