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Install in OpenClaw
/install resume-parser-claw
Description
简历标准化解析虾 — 将非标简历（PDF/Word/图片/文本）解析为结构化候选人数据，并可写入飞书多维表格或导出 Excel/JSON。 **当以下情况时使用此 Skill**： (1) 用户上传或提供简历文件（PDF、Word、图片），要求提取候选人信息 (2) 需要批量解析简历并录入数据库或飞书多维表格 (...
Usage Guidance
This package appears coherent for resume parsing, but before installing/checking it you should: (1) confirm how Feishu integration is authorized on your platform (are credentials supplied by the agent runtime or will you need to provide tokens?), (2) be aware the tool handles PII (phones/emails) — ensure storage, retention, and access controls meet your privacy policies, (3) install and verify required Python dependencies (pdfplumber, python-docx, pytesseract + tesseract OCR engine, Pillow, pandas, openpyxl) and OCR language data, (4) test on non-sensitive sample resumes to validate parsing and deduplication behavior, and (5) review how/where original files are stored or uploaded (e.g., if the platform automatically uploads files to external services). If you need higher assurance, request explicit documentation of Feishu connectors or an implementation that declares required credentials and data flow.
Capability Analysis
Type: OpenClaw Skill
Name: resume-parser-claw
Version: 1.0.0
The skill bundle is a legitimate resume parsing tool designed to extract structured data from PDF, Word, and image files. The Python script (scripts/parse-resume.py) uses standard libraries like pdfplumber, python-docx, and pytesseract for text extraction and employs regular expressions for field parsing without any evidence of malicious execution, data exfiltration, or obfuscation. The instructions in SKILL.md and the supporting documentation in the references directory are consistent with the stated purpose and do not contain harmful prompt injection attempts.
Capability Assessment
Purpose & Capability
The name/description, included resume-schema and skills dictionary, and the parse-resume.py script all align: extracting text from PDF/DOCX/images, parsing fields, scoring quality, and exporting to JSON/Excel or writing to a table. No unrelated services or credentials are requested in the package itself.
Instruction Scope
SKILL.md stays within parsing, normalization, scoring, and output workflows. It references calling feishu_im_bot_image to download files and feishu_bitable_app_table_record to write to Feishu tables and mentions triggering other '虾' (skills). Those references imply integration with external platform connectors but the instructions do not attempt to read arbitrary system paths or exfiltrate data to unknown endpoints.
Install Mechanism
There is no install spec (instruction-only skill) and only a bundled Python script. The script relies on common Python packages (pdfplumber, python-docx, pytesseract/Pillow, pandas/openpyxl) and will exit with a message if they are missing. No downloads from unknown URLs or archive extraction are present.
Credentials
The registry metadata declares no required env vars or credentials, but SKILL.md references writing to Feishu (and using Feishu-specific helper names). That implies the agent/platform or another skill must provide Feishu credentials; the skill itself does not declare or request them. Also the tool processes PII (names, phones, emails); treat credential and data access accordingly.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modify other skills' configurations. It may invoke other skills (e.g., interview-scheduler-claw) which is normal collaboration behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-parser-claw - After installation, invoke the skill by name or use
/resume-parser-claw - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始发布：支持 PDF/Word/图片/文本简历解析，标准化字段提取，飞书多维表格写入
Metadata
Frequently Asked Questions
What is 简历标准化解析虾?
简历标准化解析虾 — 将非标简历（PDF/Word/图片/文本）解析为结构化候选人数据，并可写入飞书多维表格或导出 Excel/JSON。 **当以下情况时使用此 Skill**： (1) 用户上传或提供简历文件（PDF、Word、图片），要求提取候选人信息 (2) 需要批量解析简历并录入数据库或飞书多维表格 (... It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install 简历标准化解析虾?
Run "/install resume-parser-claw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 简历标准化解析虾 free?
Yes, 简历标准化解析虾 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 简历标准化解析虾 support?
简历标准化解析虾 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 简历标准化解析虾?
It is built and maintained by Ricky (@tujinsama); the current version is v1.0.0.
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