paper-contribution-helperBuild and use a modular paper contribution helper from target papers, research fields, years, and paper sources. Use when Codex needs to help researchers pac...
Install via ClawdBot CLI:
clawdbot install c-narcissus/paper-contribution-helperGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.openreview.netUses known external API (expected, informational)
api.openai.comAudited May 22, 2026 · audit v1.0
Generated Oct 2, 2026
A PhD student preparing a NeurIPS submission uses the skill to package their paper's core contributions, run novelty-risk diagnostics against target papers, and generate a persuasive story route. The skill produces a structured report flagging likely reviewer objections before submission.
An author facing harsh reviews after a CVPR submission invokes the skill's rebuttal workflow to map each reviewer critique to a pre-built defense and reframing strategy. The output becomes a draft rebuttal document with prioritized counterarguments and supporting evidence pointers.
A lab lead supplies a seed paper and target field (e.g., medical imaging) so the skill infers 1-3 subdomains, pulls reference papers by year and source, and packages a reusable modular helper. The generated skill can later analyze other papers in that niche with domain-tuned analogies.
A research engineer points the skill at a local folder of downloaded PDFs or an OpenReview project-run and runs the project-corpus direct workflow. The skill extracts, chunk-chunks, deep-reads, and synthesizes contribution patterns across dozens of papers into an anonymized comparative report.
A grant-writing consultancy uses the skill to sharpen the novelty narrative and contribution claims of client proposals or white papers. It diagnoses overclaiming risk and produces defensible contribution framing aligned with reviewer expectations.
Free tier allows one paper analysis per month with basic novelty diagnostics; paid tiers unlock unlimited analyses, reviewer-defense report generation, and export-ready rebuttal drafts. Targets grad students and postdocs who pay out of pocket or via lab budgets.
Departments, corporate AI labs, and research groups buy seat-based licenses with shared casebook evolution, private corpus hosting, and admin controls. Includes onboarding to build org-specific domain helper skills from their paper archives.
A human-in-the-loop offering where experts run the skill on a client's paper and deliver a polished contribution-packaging report, rebuttal draft, and submission-readiness audit. Sold per manuscript to authors and labs facing tight deadlines.
💬 Integration Tip
Preserve the strict initial-reply and project-files-first rules by keeping the router (SKILL.md) thin and loading only one workflow plus one contract module per task. Ensure the runtime can read local files and run python3, since external LLM/API backends are optional fallbacks rather than requirements.
Scored Aug 26, 2026
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