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 Yila-AI/awesome-research-skills --skill sci-ssci-polishinggit clone --depth 1 https://github.com/Yila-AI/awesome-research-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/yila-ai/awesome-research-skills/sci-ssci-polishing)<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.
<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>- 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 | $0.00038 | $0.01128 |
| Opus 5.5 | $0.00015 | $0.00451 |
| Sonnet 5.5 | $0.00008 | $0.00226 |
| Haiku 4.5 | $0.00004 | $0.00113 |
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 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.
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.mdandreferences/output-contract.md. - Read
references/rhetorical-routing.mdwhen polishing a complete section or when the section type is known. - Read
references/corpus-method.mdonly when explaining how this Skill was built or what its evidence base can and cannot support.
Inputs
Accept either:
- Chinese academic prose to translate into English.
- 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 EnglishorEnglish polishing; - scope:
paragraphorfull section; - domain family:
SCI,SSCI, oruncertain/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.
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.
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 Changed · +1 lines 40734c56f9a1
- 1mo ago First seen · 124 lines · 38 tokens per session scan A c5db0b0882eb
sci-ssci-polishing is a skill published in the GitHub repository Yila-AI/awesome-research-skills (139 stars, last pushed 6d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,128 once invoked, about $0.0002 per session on Opus 5.5. 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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