paper-rewriter@5.8.0
VERIFIED· install onlyPublisher claims: "Academic writing style toolkit, bilingual CN/EN: paper rewriting with AI-flavor self-check and style naturalization (scan reports are detection only), deterministic cleanup (model artifacts, punctuation, filler phrases), integrity guardrails (numbers, DOIs, PMIDs, terminology must survive untouched), and agent-guided revision for clearer, more natural academic prose. Built for scholars whose formal writing reads stiff, templated or machine-flavored — especially non-native (ESL) authors. Skip when: pure grammar polish, full-text translation, or rewriting unrelated to academic writing — use a dedicated tool. Includes AIGC-disclosure compliance checks (China 2025-09 labeling rules) and academic-integrity guardrails: this tool improves writing quality for self-review; it does not help misrepresent authorship, conceal required AI disclosure, or defeat integrity review. 100% local, zero upload, Python stdlib only. Related: paper-polisher-pro (broad polishing), pubmed-verifier, cite-holmes, academic-figures." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-11 and scored it 92/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
_DASHES = "\u2010\u2012\u2013\u2014\u2015\u2212" # hyphen bullet / figure / en / em / horizontal bar / math minusFix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.No other findings across 11,520 lines in 38 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.