Resume-to-Tags

从简历到纯标签矩阵的完整流程。接受简历文本/文件 → LLM 提取原子标签（含近义词扩展） → 创建飞书多维表格（多选标签字段） → 批量录入候选人 → 清理空白行列 → 输出可搜索的人才标签库。当用户提供简历并要求"生成标签矩阵"、"人才标签库"、"简历转表格"、"候选人打标"时使用。

This skill is plausible for parsing resumes and building a tag matrix, but it contains two important ambiguities you should resolve before installing or using it: 1) Feishu integration: SKILL.md instructs creating and modifying a Feishu Bitable but the skill declares no Feishu credentials or required permissions. Confirm whether your agent/platform provides a Feishu connector and what exact permissions (create tables, modify fields, insert records) will be used. If the platform will request a Feishu token, review the scope and where that token is stored. 2) LLM and PII handling: scripts/extract_tags.py extracts phone and email and embeds resume text into a generated prompt that you are instructed to send to an LLM. Decide which model/endpoint will be used, verify its data retention and access policies, and avoid sending sensitive resumes to untrusted endpoints. Test the flow with synthetic or redacted data first. Additional practical checks: - Inspect how your agent maps the SKILL.md 'feishu_bitable_app_*' actions to concrete API calls and whether those calls will be audited/logged. - Ensure the platform's connector prompts you before granting Feishu or LLM access; do not supply broad tokens to unknown code. - Consider running extract_tags.py locally to see the produced prompt and JSON, and confirm synonyms.json meets your taxonomy needs. If the author can provide explicit details about Feishu connector requirements and the expected LLM endpoint (or include code to call Feishu/LLM safely), the incoherence would be resolved. Otherwise treat the missing integration/credential details as a red flag and proceed cautiously.

Type: OpenClaw Skill Name: resume-to-tags Version: 1.0.0 The resume-to-tags skill bundle is a legitimate HR automation tool designed to extract professional attributes from resumes and organize them into a Feishu (Lark) Bitable. The Python script `scripts/extract_tags.py` uses regex for basic contact info extraction and prepares a structured prompt for an LLM, while `SKILL.md` provides clear instructions for the agent to manage the Feishu integration. The code and instructions are well-aligned with the stated purpose and show no signs of malicious intent, unauthorized data exfiltration, or harmful prompt injection.