Audit research project files, ledgers, and citations against workspace conventions.
npx skills add https://github.com/hsigstad/research-kit --skill check-hsigstad
Please help me install this Agent Skill. Skill: check Source: https://github.com/hsigstad/research-kit/tree/main/skills/check Command: npx skills add https://github.com/hsigstad/research-kit --skill check-hsigstad
This Skill ensures compliance with workspace conventions by auditing projects and proposing fixes for detected issues, saving time and reducing errors in research workflows.
Run /check to automatically audit and propose fixes for your project files, ledgers, and citations.
High-intent search queries and answers about installing and using this skill.
To audit project files and citations against workspace conventions, you can run the /check command to automatically review your research project files, ledgers, and citations for discrepancies. It proposes fixes for detected issues to maintain consistency and accuracy.
Automating convention compliance in a research workflow is best handled by running /check, which provides fast and deterministic auditing of project files. It identifies discrepancies against predefined workspace conventions and suggests corrections to save time and reduce manual errors.
Yes, the project audit skill requires tools from the research-kit to execute properly. You must have these research-kit components available in your environment to ensure the automated auditing and fix-proposal processes function correctly.
Yes, you can automatically generate proposed fixes for ledger discrepancies by running the /check command. It audits your project files and citations, identifying any issues and suggesting specific corrections to help maintain consistency in your research workflow.
Using an automated project audit tool ensures fast and deterministic execution, saving significant time compared to manual review. It consistently checks files, ledgers, and citations against workspace conventions and proposes fixes, reducing human error in research workflows.
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