.claude/skills/bank-scan-household-splitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
客户丢来一个压缩包,里面几百张身份证正反面、开卡申请书、合同——**人工一张张挑,一下午就没了,还容易漏**。 这套按人按户自动拆好:解包 → 抽出全部图片 → 视觉模型批量识别"这是谁的正/反面、哪份申请书" → 按户匹配 → 每户输出一个独立 Word。 有一条用真金白银换来的选型红线:**证件识别不要用 GLM-4V-Flash**(实测 18 张身份证背面里 11 张被编造,还编出了姓名),必须用高准确度视觉模型并配交叉校验。 - 输入:RAR/ZIP 加密压缩包,或几百页全是图片、没有文字的扫描件 docx - 输出:「姓名-身份证+开申请书.docx」单户文件 + 「待人工核对」文件夹(识别不出或匹配不上的单独放,不混进正常结果) - 图片不出本机:解包与提取都在本地做,只有识别那一步调视觉模型 适用:银行影像材料归户、律师立案材料整理、催收/诉讼材料分户、批量证件归档。 触发词:扫描件拆分、材料按户分开、银行影像材料、身份证正反面识别、归户、批量证件归档、律所立案材料、docx 提取图片、OCR 分类、催收材料整理。 适用对象:银行影像材料归户、律师立案材料整理、催收/诉讼材料分户、批量证件归档。 输入:RA…
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/bank-scan-household-splitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/bank-scan-household-splitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/bank-scan-household-splitterRuntime, 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 @lingyu9495-source/bank-scan-household-splitterclawhub inspect @lingyu9495-source/bank-scan-household-splitter --version 1.1.2This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:ec19e4e46e535e636a8a5ceee4bd3580d2227965ab4fec7f612c0e64a72abad2references/vision-model-selection.mdscripts/doubao_batch_classify.pyskill-card.mdSKILL.mdbank-scan-household-splitter v1.1.2 - Major documentation overhaul: SKILL.md and vision-model-selection references updated for clarity, accuracy, and best practices. - Streamlined and clarified instructions on model selection, emphasizing the requirement for high-accuracy vision models (no GLM-4V-Flash for ID recognition, use Doubao Seed 2.0 Pro instead). - Enhanced usage notes, pitfalls, and workflow details to match latest field-tested procedures. - Outdated or redundant materials removed (skill-card.md no longer included).
Both fixed releases were scanned under the current scanner and policy, so finding, permission and dependency changes are available.
These older immutable releases were observed by prior successful syncs. They remain recorded when a newer release becomes current.
sha256:8a208ca109346bedcbde067296fd81cd63384d10e9ff5cc77388dc01d0d1b615