A skill your agent uses when a manuscript needs a copy-edit for consistency and non-native English clarity.
$ npx skills add Aperivue/medsci-skills --skill polish-language -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Aperivue/medsci-skills polish-language --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/polish-language .claude/skills/polish-language && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .claude/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-languageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Aperivue/medsci-skills --skill polish-language -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Aperivue/medsci-skills polish-language --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/polish-language .agents/skills/polish-language && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .agents/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Aperivue/medsci-skills --skill polish-language -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Aperivue/medsci-skills polish-language --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/polish-language .cursor/skills/polish-language && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .cursor/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Aperivue/medsci-skills.git --path skills/polish-language--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Aperivue/medsci-skills --skill polish-language -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Aperivue/medsci-skills polish-language --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/polish-language .gemini/skills/polish-language && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .gemini/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Aperivue/medsci-skills polish-languageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Aperivue/medsci-skills --skill polish-language -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/polish-language .github/skills/polish-language && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .github/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Aperivue/medsci-skills --skill polish-language -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Aperivue/medsci-skills polish-language --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Aperivue/medsci-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/polish-language .opencode/skills/polish-language && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "polish-language" agent skill from https://github.com/Aperivue/medsci-skills/tree/main/skills/polish-language into .opencode/skills/polish-language/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "polish-language", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
polish-languageA skill your agent uses when a manuscript needs a copy-edit for consistency and non-native English clarity.
Polish Language is an agent skill from Aperivue/medsci-skills. Use when a manuscript needs a copy-edit for consistency and non-native English clarity. Flags abbreviation, US/UK spelling, en-dash range, P/p, hyphenation, number-style and unit-spacing issues, then polishes style only. AI-tell removal is /humanize.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts (for example `scripts/lint_challenge/fixture/consistent_uk.md`, `scripts/lint_challenge/fixture/consistent_us.md` and `scripts/lint_challenge/fixture/manuscript.md`).
It sits in Research & Science, covering Humanizing AI text. The repository describes itself as: Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor &… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3b14ae2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 10 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
python3bashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Polish Language loads about 1.5k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 706 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from Aperivue/medsci-skills at commit 3b14ae2, republished under its MIT licence (© Aperivue). 706 words, ~1,526 tokens.
.claude/skills/polish-language/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.Tighten a manuscript's mechanical language consistency and clarity before circulation or submission — the copy-editor pass content-focused skills skip. The author is often a non-native (ESL) English writer, so clarity edits keep the formal academic register and never touch facts. Manuscript edits are in English.
This skill never rewrites scientific claims, changes numeric values, edits citations, or
judges study quality; it standardizes house style and improves sentence-level clarity, with
explicit user approval for every edit. Out of scope: AI-tell removal (humanize, which does not
do general copy-editing), drafting or restructuring (write-paper), reporting-guideline items
(check-reporting), AI-search optimization (academic-aio), reference formatting and citation
integrity (manage-refs, verify-refs), and translation.
Input: a manuscript or section (Markdown / plain text). Output: (1) the deterministic consistency report, and (2) — only after a user gate — a clarity-polished revision with a change log limited to style.
Run the bundled linter — it reports, never edits:
python3 "${CLAUDE_SKILL_DIR}/scripts/lint_consistency.py" path/to/manuscript.md
# add --strict to exit non-zero when any issue is found (CI / pre-submission gate)It flags eight families, each with line numbers and a per-category + total count:
5-10 → 5–10).P/p case; impossible P = 0.000.5mg → 5 mg).3.681) that the body writes with a comma (3,681).Present the report to the user. The linter output is the source of truth for what is mechanically wrong: do not invent further "issues" from memory, and label anything else you notice as an editorial suggestion, not a linter finding. The fixed rules do not settle every grammar or journal preference, so triage flags in context.
Text baked into a figure never reaches Phase 1, so a UK word typed into a PowerPoint panel or plotting script ships in a US manuscript unseen. Scan the figure sources (no OCR):
python3 "${CLAUDE_SKILL_DIR}/scripts/lint_figure_locale.py" --manuscript path/to/manuscript.md --figures-dir figures/
# --spelling us|uk forces the target; otherwise it reads a `spelling:` front-matter field,
# then falls back to the body's own US/UK majority. --strict exits non-zero on any drift.It reads <a:t> runs inside *.pptx slide XML and the text of *.py / *.R plotting scripts,
with the same US↔UK families as Phase 1. FIGURE_LOCALE_DRIFT is Minor — copy-edit the
source before the raster is re-exported. A missing figures directory is not an error; it exits 0
with nothing judged.
Walk the user through the report. Some flags are author choices (a journal may mandate UK spelling, or digits for all numbers). User approval is required before any edit — confirm per category which to apply and which to keep. Record the decisions; do not auto-apply.
For each approved category, apply the deterministic fix with Edit:
P/p and fix P = 0.000 to the reported inequality,Re-run lint_consistency.py after editing — the count should drop to the issues the user chose
to keep. This re-run is the verification gate; never claim a fix without it.
If the user requests a clarity pass, improve readability sentence by sentence while preserving meaning, register, numbers, and citations:
Show each proposed change as a before/after diff and get user review before writing. Numbers, p-values, effect sizes, units, citations, and claims are copied verbatim; an edit that would change any of them is out of scope — skip it. Never merge, add, or drop a scientific claim, number, or reference. If a sentence's meaning is even slightly uncertain, leave it and ask; do not invent domain facts to smooth a sentence. Every applied change must trace to a linter flag or a user-approved clarity suggestion in the change log.
Deterministic and network-free (synthetic manuscript with seeded defects +
expected/report.txt):
bash "${CLAUDE_SKILL_DIR}/scripts/lint_challenge/verify.sh" # PASS = 11 seeded issues across 8 categories + 2 clean controls© Aperivue, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (scripts) in skills/polish-language of Aperivue/medsci-skills.
Open the folder on GitHubat commit 3b14ae2
Polish Language next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Polish Language this skillAperivue/medsci-skills | 331 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Academic HumanizerAIScientists-Dev/academic-humanizer | 1.9k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Academic Paper PolishHKUSTDial/Supervisor-Skills | 8.7k | — | ~3.1k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| ResearchEliasOulkadi/shokunin | 114 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Scholar Anti AI Writingcatlog22/maestro-flow | 564 | — | ~1.7k | Automated safety check: Notes | None | |
| Academic HumanizerYila-AI/awesome-research-skills | 132 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
AIScientists-Dev/academic-humanizer
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and funding proposals (NSF Project Summary/Description, NIH Specific Aims): preserve scholarly conventions…
HKUSTDial/Supervisor-Skills
Polishes academic prose without changing its meaning: grammar and flow fixes, tone matched to the evidence, AI-tone removal and Chinese-to-English rewriting for submission.
EliasOulkadi/shokunin
Deep research with web search, source verification, and fact-checking.
catlog22/maestro-flow
Remove AI writing patterns from academic prose. An agent skill from catlog22/maestro-flow.
Yila-AI/awesome-research-skills
A skill your agent uses when researchers ask to remove generic, templated, or AI-like patterns from Chinese or English academic prose, make an AI-assisted draft sound more like the author's own…
dongshuyan/compass-skills
Draft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence…
Aperivue/medsci-skills
A skill your agent uses when turning a folder of research PDFs into Obsidian notes, even if Obsidian is not named.
Aperivue/medsci-skills
A skill your agent uses when a clinical CSV/Excel dataset needs profiling and cleaning before analysis (missing values, outliers, duplicates, type mismatches).
Aperivue/medsci-skills
A skill your agent uses when checking a radiology or medical AI study design before drafting or submission.
Aperivue/medsci-skills
A skill your agent uses when each author needs an ICMJE Conflict of Interest disclosure form (coidisclosure.docx) for submission.
Aperivue/medsci-skills
A skill your agent uses when an institutional Word form (.doc/.docx IRB protocol, ethics application, grant template) must be filled without breaking its styles, tables, fonts or page layout.
Aperivue/medsci-skills
A skill your agent uses when looking for research topics a longitudinal cohort database can answer (NHIS, UK Biobank, an institutional EMR or registry).
Categories
A skill your agent uses when a manuscript needs a copy-edit for consistency and non-native English clarity. Polish Language is an agent skill from Aperivue/medsci-skills. Use when a manuscript needs a copy-edit for consistency and non-native English clarity.
Polish Language fits situations like: A manuscript needs a copy-edit for consistency and non-native English clarity; tasks that involve Humanizing AI text.
Run `npx skills add Aperivue/medsci-skills --skill polish-language -a claude-code`. Or copy the skill folder (skills/polish-language in Aperivue/medsci-skills) into .claude/skills/polish-language in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Aperivue/medsci-skills --skill polish-language -a codex`. Or copy the skill folder (skills/polish-language in Aperivue/medsci-skills) into .agents/skills/polish-language in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Aperivue/medsci-skills --skill polish-language -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/polish-language, .gemini/skills/polish-language, .github/skills/polish-language and .opencode/skills/polish-language in your project.
Going by SKILL.md and its folder, Polish Language needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (python3 and bash). Our summary lists: Python 3; A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Polish Language is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Polish Language: Academic Humanizer (AIScientists-Dev/academic-humanizer, 1.9k stars), Academic Paper Polish (HKUSTDial/Supervisor-Skills, 8.7k stars), Research (EliasOulkadi/shokunin, 114 stars) and Scholar Anti AI Writing (catlog22/maestro-flow, 564 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Aperivue (a GitHub organization) maintains it in Aperivue/medsci-skills, which has 331 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on October 5, 2026.
Source: Aperivue/medsci-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
