Skills/ClawHub/bank-scan-household-splitter

bank-scan-household-splitter@1.1.2

VERIFIED

Publisher claims: "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：RAR/ZIP 加密压缩包，或几百页的扫描件 docx（全是图片、无文字） 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/匹配不上的单独放，不混进正常结果） 核心做法：解包 → 从 docx 抽出 word/media 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 → 生成单户 Word。 ⚠️ 里面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，还编出姓名），必须用豆包 Seed 2.0 Pro 这类高准确度视觉模型，并配交叉校验。 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。 图片不出本机（解包与提取全在本地做），只有识别那一步调视觉模型。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher lingyu9495-source · joined 9 days agoInstalls 325Last detonated 1 h ago
$clawhub install bank-scan-household-splitter
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Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-05 and scored it 82/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 1 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only

Static findings

HIGH
Access to sensitive file pathsSKILL.md:85 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesFix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
HIGH
Access to sensitive file pathsscripts/doubao_batch_classify.py:16 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesFix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
HIGH
Access to sensitive file pathsscripts/doubao_batch_classify.py:10 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesFix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
HIGH
Access to sensitive file pathsscripts/doubao_batch_classify.py:14 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesFix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
HIGH
Access to sensitive file pathsscripts/doubao_batch_classify.py:15 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system filesFix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05