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 skills add haowjy/creative-writing-skills --skill llm-writinggit 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/skills/haowjy/creative-writing-skills/llm-writing)<a href="https://agentmods.dev/skills/haowjy/creative-writing-skills/llm-writing"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/llm-writing/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/skills/haowjy/creative-writing-skills/llm-writing"><img src="https://agentmods.dev/badge/skills/haowjy/creative-writing-skills/llm-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00064 | $0.01133 |
| Opus 5.5 | $0.00026 | $0.00453 |
| Sonnet 5.5 | $0.00013 | $0.00227 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
llm-writing 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 10d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Writing
Load /creative-writing-skills:intent-modeling if it isn't already loaded.
Load /creative-writing-skills:information-hierarchy when the piece grows beyond a short answer.
Write Intentionally
Before producing a written artifact:
- Scope. Who reads this, and when? Text that outlives the conversation (files, prompts, docs, commit messages, PRs) is read by someone without it: a cold agent, a teammate, or the person who asked, after they've forgotten it. Write for that reader. What do they know when they start, and what should they know when they finish? What do they not need to know? What did they come for, and how do they arrive: a reviewer short on time, a user whose build broke, an agent that needs the rule before the reason? Lead with what serves that reader; cut what only serves the writer. Before writing, break the piece into beats: each beat is one move in the reader's journey, carrying one idea, purpose, or turn.
- Ground. Check any relevant source material, references, or notes before writing, and make sure they align.
- Draft. Write the whole piece where you can revise it before it reaches its reader: the file itself when you're writing one, otherwise a scratch file or your working notes. Text sent straight into a chat, a PR, or a commit gets no revision pass.
- Revise. Start with the whole artifact, then move inward: structure, beats, paragraphs, sentences, words. At each scale, ask what the writing is doing: is it correct, does it follow from what came before, and does the reader need it? Delete or rewrite anything that does not serve a purpose or give the reader something they need to understand or know. Move back and forth between scales: after a local change, zoom back out through the surrounding beat, larger structure, and full artifact; the change should still connect, and the rhythm should still vary. Check disclosure tiers: the answer still leads, depth hasn't crept forward, sources sit at the end.
Choose Words
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago Changed · +13 lines · +25 tokens per session c946468888ac
- 19d ago Changed · +1 lines c84df830a098
- 2mo ago First seen · 31 lines · 39 tokens per session scan A 7a6726541612
llm-writing is a skill published in the GitHub repository haowjy/creative-writing-skills (567 stars, last pushed 10d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,133 once invoked, about $0.0003 per session on Opus 5.5. 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.
llm-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| llm-writinghaowjy/creative-writing-skills | Skill | 567 | 10d ago | Apache-2.0 | A | 64 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |