Slash Command30.7k repo starsupdated today

ars-disclosure

The ars-disclosure command generates venue-specific AI-usage disclosure statements for academic papers. Use this when submitting research to conferences or journals like ICLR, NeurIPS, Nature, Science, ACL, or EMNLP that require formal declarations of AI tool involvement in the research or writing process.

View source Repository: academic-research-skills

Install in Claude Code

Copy

mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/Imbad0202/academic-research-skills/HEAD/commands/ars-disclosure.md -o ~/.claude/commands/ars-disclosure.md

Then start a new Claude Code session; the slash command loads automatically.

Definition

ars-disclosure.md

Trigger the `academic-paper` skill in `disclosure` mode. Produces a venue-specific AI-usage disclosure statement (ICLR / NeurIPS / Nature / Science / ACL / EMNLP supported). Fidelity spectrum, low oversight.

Mode reference: `MODE_REGISTRY.md` § academic-paper.
Skill entry: `academic-paper/SKILL.md`.

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academic-paperSkill

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ars-abstractSlash Command

ARS academic-paper `abstract-only` mode — bilingual abstract + keywords

ars-cache-invalidateSlash Command

ARS /ars-cache-invalidate — drop cached verification entries for a citation key

ars-citation-checkSlash Command

ARS academic-paper `citation-check` mode — citation error report

ars-format-convertSlash Command

ARS academic-paper `format-convert` mode — convert to LaTeX / DOCX / PDF / Markdown

ars-fullSlash Command

ARS full pipeline — research → write → review → revise → finalize