Agent skill

Paper Skill

by cLin-c in cLin-c/paper-skill

End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX…

MITAuto-check passedResearch & Science

Install Paper Skill

skills CLI
$ npx skills add cLin-c/paper-skill --skill paper-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cLin-c/paper-skill paper-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
paper-skill
GitHub stars
119
Token cost
~2.6k tokens
SKILL.md length
979 words
Files
110 (incl. references, assets)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX…

  • Works in 5 steps: Intake and provenance → Build the argument model → Choose the operation → …
  • Systematic reviews
  • SKILL.md covers Non-negotiable rules, Route the task, Core workflow and File and artifact handling, plus 1 more section
  • Calls python

What it does

Paper Skill is an agent skill from cLin-c/paper-skill. End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX, figures, citation verification, reporting-guideline checks, journal selection, peer review, rebuttals, revisions, and submission packages. Use for SCI, IEEE, Nature-family, IJCAI, TRO, theses, systematic reviews, clinical/observational/animal studies, and any task where claims, evidence, references, manuscript files, or…

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 114 other files, including reference files and assets (for example `.github/ISSUE_TEMPLATE/bug-report.yml`, `.github/ISSUE_TEMPLATE/example-request.yml` and `.github/ISSUE_TEMPLATE/feature-request.yml`).

It sits in Research & Science, covering Literature review, LaTeX and Translation. It works with LaTeX. The repository describes itself as: 🎓 Claude Code skill — AI prompt library for academic paper writing, polishing, reviewing, translating and submitting to SCI/IEEE/Nature/TRO journals. The licence is MIT.

When your agent uses it

  • Systematic reviews
  • Clinical/observational/animal studies
  • Any task where claims
  • Manuscript files

Example prompts

  • “/paper-skill”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Intake and provenance
  2. Build the argument model
  3. Choose the operation
  4. Verify
  5. Deliver with uncertainty visible

What it can do on your machine

Read from SKILL.md and the folder at commit d616bf1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Paper Skill loads about 2.6k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 147 tokens; SKILL.md has 979 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~147
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

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.

Safety

Auto-check passed

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from cLin-c/paper-skill at commit d616bf1, republished under its MIT licence (© cLin-c). 979 words, ~2,640 tokens.

Download SKILL.mdSave it as .claude/skills/paper-skill/SKILL.md (or your agent's skills folder). This skill also uses 109 other files; get the full folder from GitHub.
name
paper-skill
description
End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX, figures, citation verification, reporting-guideline checks, journal selection, peer review, rebuttals, revisions, and submission packages. Use for SCI, IEEE, Nature-family, IJCAI, TRO, theses, systematic reviews, clinical/observational/animal studies, and any task where claims, evidence, references, manuscript files, or journal requirements must be checked rather than invented.

paper-skill

Turn research materials into evidence-calibrated academic outputs. Treat the manuscript as a traceable system of claims, evidence, citations, figures, and submission requirements—not as a free-form writing task.

Non-negotiable rules

  1. Never invent data, experiments, statistics, quotations, references, DOI values, journal policies, author contributions, ethics approvals, funding, or revision locations.
  2. Separate three states explicitly: VERIFIED, UNVERIFIED, and AUTHOR_INPUT_NEEDED.
  3. Preserve scientific meaning before improving style. Flag contradictions instead of silently repairing them.
  4. Map every material claim to evidence. Downgrade or remove unsupported claims.
  5. Verify time-sensitive journal policies and bibliographic metadata against primary sources when tools permit. Record source and access date.
  6. Never promise acceptance, impact factor outcomes, or detector evasion. Quality scores are internal triage, not publication predictions.
  7. Keep a change ledger for manuscript edits: location, original, revision, reason, evidence affected.

Read references/verification-policy.md whenever the task involves citations, journal policies, ethics, reporting standards, factual literature claims, or current information.

Route the task

First classify the request, then load only the indicated resources.

RouteTypical requestsRequired resources
readRead, summarize, critique, bilingual notesreferences/paper-writing-prompts.md
literatureSearch strategy, review, gap map, related workworkflows/literature-review.md, citation-integrity.md
write (plan-write)Storyline, outline, draft, rewrite, polish, translate; personal writing style and full-manuscript structureApply the writing profile below, the matching section guide, and references/output-contracts.md
figuresMethod diagram, result figure, caption, figure auditreferences/figure-prompts.md, workflows/figure-audit.md
reviewPre-submission review, rejection risks, adversarial auditquality-gates.md, references/output-contracts.md
rebuttalReviewer response, R&R, rebuttal, revision verificationreferences/output-contracts.md, quality-gates.md
citationsDOI audit, hallucination scan, claim-source matchcitation-integrity.md, workflows/reference-tools.md
journalVenue selection, transfer, policy, formattingjournal-strategy.md, references/verification-policy.md
submit (submission)Cover letter, highlights, declarations, final packageworkflows/submission-package.md, references/output-contracts.md
reportingCONSORT, PRISMA, STROBE, ARRIVE, CARE, SPIRITreferences/reporting-guidelines.md, references/verification-policy.md
full-verifyDOI lookup, journal policy evidence, manuscript/rebuttal consistencyworkflows/full-verification.md

For IEEE Transactions on Robotics, also load references/venues/ieee-tro.md. Treat every venue profile as a dated starting point and re-check its official links before submission.

For a multi-route request, load the smallest combination that covers it. Do not load the general prompt bank unless the routed resources are insufficient; then use references/prompt-bank.md.

Personal writing style and manuscript structure

For write, use references/personal-writing-style.md as the default writing profile. Requests such as “按我的论文风格”, “个人写作风格”, or “全文结构规范” select this profile explicitly; a structural review can use it without rewriting the manuscript. Read its application rules and the sections relevant to the requested scope.

Build the argument from task/scientific question → capability needed → concrete obstacle and consequences → design principle → mechanism → evidence → scoped conclusion. Explain requirements backward from the goal, then describe the method forward along its actual dependencies. Keep claims, contributions, methods, figures, and evidence aligned.

Explicit author preferences and verified venue requirements take precedence over these stylistic defaults. Preserve scientific meaning and evidence limits. Adapt to method, discovery, or theory papers; do not impose fixed counts of sections, contributions, modules, experiments, or sentences. A paragraph edit stays a paragraph edit. Deliver the requested prose first, with proportional verification notes and author questions outside the manuscript.

Section-writing selector

For worked patterns, load examples/section-rewrites.md. The examples are synthetic; reuse reasoning structure, never their facts.

Core workflow

1. Intake and provenance

Create a compact intake record:

  • task and intended artifact;
  • paper type and discipline;
  • target venue and deadline, if supplied;
  • authoritative source files and version order;
  • available evidence: datasets, experiments, figures, tables, code, references;
  • required output format;
  • unresolved author decisions.

If several manuscript versions exist, ask which is authoritative only when it cannot be inferred safely. Never merge conflicting values silently.

Show full SKILL.md (388 more words)Show less
2. Build the argument model

Before drafting or reviewing, state:

  • research question;
  • one-sentence central claim;
  • supporting claims warranted by the research and requested scope;
  • evidence supporting each claim;
  • scope conditions and limitations;
  • novelty relative to named prior work.

Use IDs (C1, E1, R1, F1) so claims, evidence, references, and figures can be traced.

3. Choose the operation
  • Draft: build from the argument model, not from generic section templates.
  • Rewrite: diagnose structure first; preserve facts, equations, citations, and numbers.
  • Translate: translate meaning and rhetorical function; keep a terminology table and ambiguity log.
  • Review: separate fatal validity issues, major evidence gaps, minor clarity issues, and optional improvements.
  • Rebuttal: map every reviewer point to response, manuscript change, exact location, and verification status.
  • Submission: reconcile title, abstract, highlights, figures, declarations, and cover letter against the manuscript.
4. Verify

Run checks proportional to the task:

  • claim ↔ evidence;
  • claim ↔ citation;
  • text ↔ figure/table;
  • response letter ↔ revised manuscript;
  • journal policy ↔ official current source;
  • reporting checklist ↔ study design;
  • terminology, symbols, units, sample sizes, and metric consistency.

When a submission-package JSON is available, run:

bash
python tools/paper_skill_gate.py path/to/package.json

Use --format json for machine-readable output and --strict to treat warnings as a nonzero exit.

For a complete online and cross-file verification run, use:

bash
python tools/run_full_workflow.py path/to/workflow-config.json --output full-report.json
5. Deliver with uncertainty visible

Every substantial output must include:

  1. the requested artifact;
  2. evidence/traceability notes appropriate to the task;
  3. unresolved items labeled AUTHOR_INPUT_NEEDED;
  4. verification summary—what was checked, what was not, and why;
  5. next gate, if the artifact is part of a longer workflow.

Follow the schemas in references/output-contracts.md.

File and artifact handling

  • Preserve the original; write revisions to a new file unless replacement is explicitly requested.
  • For DOCX, PDF, spreadsheets, or slides, use the relevant artifact skill and render/inspect the final output.
  • For LaTeX, compile when a TeX toolchain is available; inspect warnings, references, floats, and rendered pages.
  • For figures, inspect axes, units, legends, panel labels, sample sizes, uncertainty, and caption agreement.
  • Never claim a file was modified, compiled, or visually checked unless it actually was.

Completion gates

Do not call work “submission-ready” while any critical item remains:

  • unsupported central claim;
  • unresolved contradictory data;
  • fabricated or unverified high-risk citation;
  • missing ethics/registration information when applicable;
  • reviewer response without a matching manuscript change;
  • figure/table inconsistent with the text;
  • journal requirement not checked against a current official source.

Use READY, READY_WITH_WARNINGS, or NOT_READY; always state the blocking evidence.

© cLin-c, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 109 other files (references, assets) in the repository root of cLin-c/paper-skill.

  • SKILL.md
  • .gitattributes
  • .github/ISSUE_TEMPLATE/bug-report.yml
  • .github/ISSUE_TEMPLATE/example-request.yml
  • .github/ISSUE_TEMPLATE/feature-request.yml
  • .github/workflows/toolchain.yml
  • .gitignore
  • ATTRIBUTIONS.md
  • COMMUNITY.md
  • LICENSE
  • README.md
  • README_EN.md
  • ROADMAP.md
  • VERSION
  • agents/openai.yaml
  • assets/comic-citation-detective.png
  • … and 94 more

Open the folder on GitHubat commit d616bf1

Compare with similar skills

Paper Skill 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.

Paper Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paper Skill this skillcLin-c/paper-skill119—~2.6kAutomated safety check: PassMIT
Academic Paperbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~7.3kAutomated safety check: PassCustom licence
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Research SurveyEvoScientist/EvoSkills4763 repos~2.5kAutomated safety check: PassApache-2.0
Research Depth ControlBingHanOfUESTC/open_agent_team106—~989Automated safety check: PassMIT
Research Paper WritingAlexAI-MCP/hermes-CCC135—~1.2kAutomated safety check: NotesMIT

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Works with

Questions about Paper Skill

What does Paper Skill do?

End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX…. Paper Skill is an agent skill from cLin-c/paper-skill. End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX, figures, citation verification, reporting-guideline checks, journal selection, peer review, rebuttals, revisions, and submission packages.

When should I use Paper Skill?

Paper Skill fits situations like: systematic reviews; clinical/observational/animal studies; any task where claims; manuscript files.

How do I install Paper Skill in Claude Code?

Run `npx skills add cLin-c/paper-skill --skill paper-skill -a claude-code`. Or copy the skill folder (the cLin-c/paper-skill repository) into .claude/skills/paper-skill in your project. Claude Code loads it when a task matches its description.

How do I install Paper Skill in Codex?

Run `npx skills add cLin-c/paper-skill --skill paper-skill -a codex`. Or copy the skill folder (the cLin-c/paper-skill repository) into .agents/skills/paper-skill in your project. Codex loads it when a task matches its description.

Can I use Paper Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cLin-c/paper-skill --skill paper-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paper-skill, .gemini/skills/paper-skill, .github/skills/paper-skill and .opencode/skills/paper-skill in your project.

What does Paper Skill need to run?

Going by SKILL.md and its folder, Paper Skill needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Paper Skill access the network?

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.

Is Paper Skill safe to install?

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. Review the folder before installing.

What licence does Paper Skill use?

Paper Skill is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paper Skill use?

About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 18k tokens, read only when the agent opens those files.

What are the alternatives to Paper Skill?

Skills that share tags, products or a category with Paper Skill: Academic Paper (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Research Survey (EvoScientist/EvoSkills, 476 stars) and Research Depth Control (BingHanOfUESTC/open_agent_team, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paper Skill?

cLin-c (a GitHub user) maintains it in cLin-c/paper-skill, which has 119 GitHub stars. The repository was last updated on September 26, 2026.

Source: cLin-c/paper-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.