.claude/skills/ocr-keyword-word-exporterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
批量提取图片文字、标注关键词、生成Word文档。当用户上传带文字的图片(单张或多张)时,自动识别文字,根据用户提供的关键词进行标注加粗,并输出为连续的Word文档格式。适用于学生整理课件重点、文献标注、复习资料制作等场景。
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/ocr-keyword-word-exporterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ocr-keyword-word-exporterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ocr-keyword-word-exporterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @lilimoss-china/ocr-keyword-word-skillclawhub inspect @lilimoss-china/ocr-keyword-word-skill --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:abee44a6f8469404541a0f7cc577c13273ac0e2112f29f2e4ce7cf7186a7ec3eexample_output.txtLICENSE.txtscripts.pyskill-card.mdskill.mdusage.md- Initial release of ocr-keyword-word-exporter skill. - Supports batch extraction of Chinese text from uploaded images, removing irrelevant formats and content. - Users can specify keywords for automatic bold highlighting in the extracted text. - Generates Word-friendly output with each image as a separate paragraph and includes keyword occurrence statistics. - Designed for scenarios like study note organization, literature highlighting, and review material preparation.