skills
anthropics
Public repository for Agent Skills
PrathamLearnsToCode/paper2code
paper2code is a tool for DeepSeek Harness. Agent skill to turn any arxiv paper into a working implementation

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
A well-documented skill that turns arxiv papers into citation-anchored code with honest ambiguity flagging; worth instal
README shows a clear, structured output layout (src/, configs/, notebooks/) and an npx-based install flow, but no tests or CI are mentioned.
No suspicious download-and-execute or secret handling is described, but the install command and runtime permissions are not detailed, so risk is unclear.
Addresses a real, common pain point of implementing ML papers by anchoring code to paper sections and auditing unspecified choices.
Last updated 2026-04-03, not archived, and has 1524 stars indicating active community interest.
README thoroughly explains install, usage modes, output structure, and limitations, though the install command is listed as unknown in the metadata.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Agent skill to turn any arxiv paper into a working implementation
paper2code has 1,524 stars and 177 forks on GitHub, last updated 2026-04-03.
paper2code is distributed under the MIT license.
paper2code is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
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