Borrowing it
Nothing to install: this file belongs to sommio/qwen-omni-mcp. 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/sommio/qwen-omni-mcp/develop/.agents/skills/write/SKILL.mdgit clone --depth 1 https://github.com/sommio/qwen-omni-mcpWrote 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/sommio/qwen-omni-mcp/write)<a href="https://agentmods.dev/skills/sommio/qwen-omni-mcp/write"><img src="https://agentmods.dev/badge/skills/sommio/qwen-omni-mcp/write/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/sommio/qwen-omni-mcp/write"><img src="https://agentmods.dev/badge/skills/sommio/qwen-omni-mcp/write.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 | $0.00087 | $0.03513 |
| Opus 5.5 | $0.00035 | $0.01405 |
| Sonnet 5.5 | $0.00017 | $0.00703 |
| Haiku 4.5 | $0.00009 | $0.00351 |
Grade A, and why
write 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 1mo 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.
This is a copy
92% identical to write — 158 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write: Cut the AI Taste
Prefix your first line with 🥷 inline, not as its own paragraph.
Strip AI patterns from prose and rewrite it to sound human. Do not improve vocabulary; remove the performance of improvement.
Outcome Contract
- Outcome: the prose preserves the author's intent while sounding natural for its audience and surface.
- Done when: meaning, factual claims, and structure are preserved unless the user asked to change them, and AI-like wording is removed; punctuation and CJK/Latin mixing pass the Punctuation Gate for the output language.
- Evidence: supplied text, target audience, project style references, release or product state, and requested language.
- Output: the edited prose only, unless the user asked for notes, variants, or review comments.
Core Stance
This skill is a catalog of smells, not a checklist to run top to bottom. Use it to recognize AI taste, then make judgment calls. The reference files (especially write-zh.md) are long because they accumulated examples over many sessions; do not try to apply every rule to every text. Applying more rules is not doing a better job.
- Over-editing is failure, equal to under-editing. If a sentence is already natural, clear, and stable, leave it. Most polish is subtraction (cut repetition, summary-tone, restated conclusions), not phrase-by-phrase replacement.
- The author's voice wins. Keep the author's existing colloquial words, cadence, and stance. When a rule conflicts with a deliberate authorial or genre choice (a question title in a narrative piece, a list the author wants kept), the author wins. Rules are defaults, not laws.
- Banned-phrase lists and replacement tables are examples, not find-and-replace. A flagged word that reads naturally in context stays. Match the smell, not the string.
- Prefer fewer, stronger edits. Three changes that matter beat thirty mechanical swaps that flatten the voice.
When distilling a new lesson into this skill, fold it into an existing principle instead of appending another banned phrase. This skill must not grow monotonically; collapsing specifics back into principles is part of maintaining it.
What ships with it
12 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.
- references/durable-context.md 1.6 KB
- references/mode-long-form.md 2.1 KB
- references/mode-public-reply.md 3.1 KB
- references/mode-release-notes.md 2.8 KB
- references/write-en.md 9.7 KB
- references/write-product-localization.md 5.7 KB
- references/write-zh-bilingual.md 2.4 KB
- references/write-zh-prose.md 2.7 KB
- references/write-zh-release-notes.md 2.5 KB
- references/write-zh.md 47 KB
- scripts/check_punctuation.py 18 KB runs code
- scripts/check-punctuation.sh 151 B runs code
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.
- 1mo ago First seen · 172 lines · 87 tokens per session scan A 4dbc0681354e
write is a skill published in the GitHub repository sommio/qwen-omni-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 3,513 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to write, differing in 158 lines, and is treated as a copy.
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