技能详情（站内镜像，无评论）
作者：Alireza Rezvani @alirezarezvani
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v2.1.1
统计：⭐ 3 · 1.4k · 8 current installs · 8 all-time installs
⭐ 3
安装量（当前） 8
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：alirezarezvani/senior-prompt-engineer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
Files and runtime instructions align with a prompt-engineering toolkit; nothing obviously requests unrelated credentials or installs arbitrary binaries, but one evaluation script (rag_evaluator.py) was not shown in full so review it before running.
目的
Name, description, SKILL.md examples, and included scripts (prompt_optimizer.py, agent_orchestrator.py, rag_evaluator.py) are consistent with a 'senior prompt engineer' toolkit for analyzing prompts, RAG evaluation, and agent workflows. The skill does not declare unrelated env vars, binaries, or config paths. Minor note: the registry labeled this as 'instruction-only' while shipping multiple Python scripts — that is an internal inconsistency b…
说明范围
SKILL.md instructs the agent/user to run the included Python scripts against local files (prompts, contexts, agent YAML). The visible scripts perform static analysis and local validation only. However rag_evaluator.py was truncated in the provided content; if it performs network calls (e.g., to embedding or LLM services) or looks up external endpoints, that behavior is not declared in SKILL.md or requires.env and should be inspected.
安装机制
No install spec is present and the scripts are run directly with the Python interpreter. Nothing in the manifest attempts to download or extract remote archives or install third-party packages automatically.
证书
The skill declares no required environment variables or credentials and the visible code operates on local files. This is proportionate to the stated purpose. Caveat: if rag_evaluator.py (not fully shown) expects API keys or contains hardcoded endpoints, those would be out-of-band and should be verified before use.
持久
The skill does not request always:true or any elevated/platform-wide privileges. It contains local utility scripts and reference docs only, and does not attempt to modify other skills or agent configuration beyond validating user-supplied agent config files (via agent_orchestrator).
综合结论
This skill appears to be a coherent prompt-engineering toolkit that runs local Python scripts to analyze prompts and agent configs. Before installing or running: - Inspect rag_evaluator.py (the full file) for any network calls, hardcoded endpoints, or attempts to use API keys; the SKILL.md does not declare any required credentials. - Run the scripts on non-sensitive sample files first and in a sandboxed environment (or virtualenv) so you can o…
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「Senior Prompt Engineer」。简介：This skill should be used when the user asks to "optimize prompts", "design pro…。
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/alirezarezvani/senior-prompt-engineer/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。