技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.1
统计：⭐ 0 · 176 · 2 current installs · 3 all-time installs
⭐ 0
安装量（当前） 3
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：ayalili/resume-parser
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, instructions, and requirements are internally consistent with a local resume-parsing and JD-matching tool; it does not request credentials or include network/install mechanisms that contradict its stated purpose.
目的
Name/description (local resume parsing, JD matching) align with included scripts and docs. Scripts implement PDF/DOCX/OCR extraction, build prompts for a local LLM to produce structured JSON, and implement matching rules — all coherent with the stated purpose. No unrelated binaries, env vars, or external services are required in the manifest.
说明范围
Runtime instructions tell the agent to extract text from files, build prompts, and pass them to a (local) large model to produce JSON results. The skill does not instruct reading unrelated system files or sending data to external endpoints. NOTE: the claim of 'completely local' depends on the agent's model configuration — if the agent is configured to use a remote API, resume content could be sent externally even though the skill itself does n…
安装机制
No formal install spec (instruction-only), which is low-risk. README/SKILL.md recommend pip installing PyPDF2, python-docx, pillow, pytesseract and installing the Tesseract engine — standard local dependencies. No downloads from arbitrary URLs or packaged installers are present in the manifest.
证书
The skill declares no required environment variables, credentials, or config paths. All requested actions (file parsing, local OCR, prompt construction) are proportional to the stated purpose.
持久
Flags show normal privileges (always:false, model invocation allowed). The skill does not request permanent presence or modify other skills or system-wide settings.
综合结论
This skill appears to do what it says: local resume text extraction, prompt construction, and structured matching. Before installing/using: 1) Ensure you run the LLM locally or with an on-prem model — the skill builds prompts but relies on whatever model your agent uses; if that model is a remote API, resumes (PII) could be sent externally. 2) Install Tesseract OCR separately and the listed Python packages; run in a controlled environment. 3) …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「resume-parser」。简介：智能简历解析系统，支持PDF/Word/图片格式简历的结构化信息提取、岗位匹配度分析、优化建议生成。完全本地运行，无需外部API。使用场景：(1) 解析上传的…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/ayalili/resume-parser/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。