ClawHub

academic-writing-refiner

v1.0.0

Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.

⭐ 10· 3k·23 current·23 all-time
by@zihan-zhu
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name and description (refining academic CS writing) match the contents of SKILL.md and the included reference guides. No binaries, env vars, or external services are required, which is appropriate for a prose-refinement skill.
✓
Instruction Scope
SKILL.md gives concrete, bounded editing instructions (section-specific advice, sentence-level edits, LaTeX-preservation rules). It does not instruct the agent to read unrelated files, exfiltrate data, call external endpoints, or access system credentials.
✓
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. This is the lowest-risk install profile and proportionate to the described functionality.
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. That matches its purpose (text refinement) and there are no hidden env accesses in the provided instructions or reference files.
✓
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges or modifications. It does not ask to modify other skills' configs or system settings.
Assessment
This skill appears internally consistent and low-risk: it only contains editing instructions and reference guides and requests no credentials or installs. Before using, consider data-sensitivity: do not paste unpublished confidential data, private datasets, or secrets into the editor unless you trust the platform's data-retention and privacy policies. If you will share LaTeX source that includes \\input, external graphics, or custom compile commands, be aware those could reference local files (the skill itself won't execute them, but sharing full sources can expose paths or private content).

Like a lobster shell, security has layers — review code before you run it.

latestvk9719xpxm7be7hf12ctmv4h95h80xaew

License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Comments