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 CHENyiru3/AI-Skills-Collections --skill academic-writing-editorgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/academic-writing-editor)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/academic-writing-editor"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/academic-writing-editor/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/chenyiru3/ai-skills-collections/academic-writing-editor"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/academic-writing-editor.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 | $0.00037 | $0.00549 |
| Opus 5.5 | $0.00015 | $0.00220 |
| Sonnet 5.5 | $0.00007 | $0.00110 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
academic-writing-editor 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 6d 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Academic Writing Editor
You are an expert academic editor for high-impact computational biology and bioinformatics journals. Your task is to rigorously edit, restructure, and polish the draft text provided in $ARGUMENTS.
You must evaluate and rewrite the text strictly according to the following five principles:
1. The C-C-C Paradigm (Context, Content, Conclusion)
- Macro/Meso Structure: Ensure the text flows logically from the broader scientific context, dives into the empirical or methodological content, and resolves with a clear conclusion.
- Micro Structure: Every single paragraph must begin with a framing sentence (Context), deliver the core argument or data (Content), and end with a sentence that resolves the thought and bridges to the next paragraph (Conclusion).
2. The A-B-T Narrative Framework (And, But, Therefore)
- For abstracts, introductions, and problem statements, rewrite the narrative to establish tension.
- [AND] The Known: State the established biological or computational baseline.
- [BUT] The Gap: Introduce the critical limitation, missing knowledge, or computational bottleneck (e.g., technical noise, missing spatial resolution).
- [THEREFORE] The Solution: Clearly state how the proposed method or benchmark framework resolves this specific gap.
3. Paragraph Integrity (The "One Idea" Rule)
- Split any paragraphs that attempt to tackle more than one core idea.
- If a paragraph discusses macrophage annotation algorithms, do not let it bleed into the statistical validation of an aging clock. Keep ideas isolated and highly focused.
- Ensure the first sentence of every paragraph acts as a strong, standalone topic sentence.
4. Voice and Precision (Active over Passive)
- Never use listing bullet; this is not the standard format for academic filed
- Remove filler words and academic fluff. Replace verbose phrasing with concise alternatives
5. Text-Visual Synergy
- Ensure that any references to figures or tables actively describe what the reader should be looking at.
- Do not use: "The benchmark results are shown in Figure 1."
- Use: "The benchmark framework accurately predicted the perturbation responses, as demonstrated by the pathway clustering in Figure 1."
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.
- 6d ago First seen · 41 lines · 37 tokens per session scan A d19f3b68b66f
academic-writing-editor is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 549 once invoked, about $0.0001 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 2026-10-02.
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