sci-ssci-polishing

sci-ssci-polishing is a skill for Codex from Yila-AI/awesome-research-skills. It costs 38 tokens per session (1,128 once invoked), scanned A, original, Apache-2.0.

A guide for translating Chinese academic writing into publication-oriented English or polishing English manuscripts for scientific and social-science journals. It focuses on clarity, precision, flow, concision, and academic tone without changing the evidence or claims.

In plain words
What is it for?
Use it to translate a Chinese paragraph, polish an English paragraph or section, or prepare manuscript text for SCI, SSCI, or interdisciplinary submission.
Why use it?
It improves the wording of research writing while keeping the underlying scientific content intact.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to translate a Chinese paragraph, polish an English paragraph or section, or prepare manuscript text for SCI, SSCI, or interdisciplinary submission.

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Install with agentmods
npx agentmods add skills/yila-ai/awesome-research-skills/sci-ssci-polishing
Install

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.

Any agent
npx skills add Yila-AI/awesome-research-skills --skill sci-ssci-polishing
Clone the repo
git clone --depth 1 https://github.com/Yila-AI/awesome-research-skills

Made for: Codex.

Wrote 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.

agentmods badge for sci-ssci-polishing

README.md
[![agentmods](https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/sci-ssci-polishing/github.svg)](https://agentmods.dev/skills/yila-ai/awesome-research-skills/sci-ssci-polishing)
Your own site
<a href="https://agentmods.dev/skills/yila-ai/awesome-research-skills/sci-ssci-polishing"><img src="https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/sci-ssci-polishing/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.

agentmods 80×15 button for sci-ssci-polishing

Your own site · 80×15
<a href="https://agentmods.dev/skills/yila-ai/awesome-research-skills/sci-ssci-polishing"><img src="https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/sci-ssci-polishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,128 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01128
Opus 5 $0.00019 $0.00564
Sonnet 5 $0.00008 $0.00226
Haiku 4.5 $0.00004 $0.00113

Measured 7d ago against content hash 40734c56f9a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sci-ssci-polishing 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_invariants.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/sci-ssci-polishing/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SCI/SSCI Academic Polishing

Polish the writing, not the science. Improve clarity, precision, coherence, concision, and disciplinary register while treating the author's evidence and claims as immutable unless the author explicitly authorizes a substantive change.

Load only what is needed

  • Always read references/invariants.md and references/output-contract.md.
  • Read references/rhetorical-routing.md when polishing a complete section or when the section type is known.
  • Read references/corpus-method.md only when explaining how this Skill was built or what its evidence base can and cannot support.

Inputs

Accept either:

  1. Chinese academic prose to translate into English.
  2. English academic prose to polish.

The input may be one paragraph or a complete section. Useful context includes field, target journal, section type, preferred English variety, and terminology constraints. Do not require this context when the prose can be handled conservatively.

Workflow

1. Classify the request

Identify:

  • mode: Chinese -> academic English or English polishing;
  • scope: paragraph or full section;
  • domain family: SCI, SSCI, or uncertain/interdisciplinary;
  • rhetorical function: Abstract, Introduction, Methods, Results, Discussion, Conclusion, literature review, or mixed;
  • requested intensity: light, standard, or substantial language revision.

If the field or section is unclear, infer cautiously from the text. State the inference only when it materially affects the revision.

2. Build a preservation ledger before rewriting

Extract and lock every item listed in references/invariants.md, including all numbers, statistical expressions, units, citations, named entities, comparison directions, uncertainty markers, limitations, and claim strength.

Also record the paragraph's claim skeleton:

context/problem -> method/evidence -> finding -> interpretation/qualification

Do not proceed as if two different skeletons were equivalent. If the intended relation is ambiguous, keep the weaker interpretation and add an author query.

Read the full file on GitHub · 125 lines

Files

What ships with it

6 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.

Changes

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.

  1. 7d ago Changed · +1 lines 40734c56f9a1
  2. 12d ago First seen · 124 lines · 38 tokens per session scan A c5db0b0882eb

Subscribe to this mod's changes

sci-ssci-polishing is a skill published in the GitHub repository Yila-AI/awesome-research-skills (119 stars, last pushed 8d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,128 once invoked, about $0.0002 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.

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