Prompt Engineer Agentic — 技能工具
v4.1.0[自动翻译] Designs and optimizes system prompts for advisory AI and autonomous agent systems using a three-layer architecture (Foundation → Structure → Execution...
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OpenClaw
安全
high confidenceThe skill's declared purpose (prompt engineering for agentic/advisory systems) matches its instructions and included reference modules; it is an instruction-only skill with no installs, no required credentials, and no obvious incoherent or exfiltrative behavior.
评估建议
This skill appears coherent and low-risk because it is instruction-only and asks for no credentials or installs. Before installing/using: 1) Note that the registry metadata lists no homepage and the publisher identity is just an owner ID — if provenance matters, verify the author or use a known source. 2) If you enable RAG/grounding, ensure any documents or data you attach are trusted (the skill's grounding guidance expects you to supply sources). 3) Treat outputs like any prompt-engineering ass...详细分析 ▾
✓ 用途与能力
Name/description align with the content: all required materials are prompt-engineering guidance and modular reference docs (spec builder, RAG grounding, domain calibration, multi-agent). No unrelated binaries, credentials, or config paths are requested.
✓ 指令范围
SKILL.md and reference files instruct the agent to read and use the included reference docs and to produce/iterate/diagnose prompts. There are no instructions to read system files, access environment variables, or send data to external endpoints. RAG guidance assumes grounding to user-provided knowledge bases (expected for this purpose).
✓ 安装机制
No install spec, no downloads, and no code files that would be written/executed. Being instruction-only minimizes on-disk risk.
✓ 凭证需求
The skill requests no environment variables, credentials, or config paths. All declared requirements are proportional to a prompt-engineering guide.
✓ 持久化与权限
always is false and autonomous invocation is the platform default. The skill does not request persistent system presence or to modify other skills/configs.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv4.1.02026/3/4
Initial release — v4.1 core with spec builder, RAG grounding, domain
● 无害
安装命令 点击复制
官方npx clawhub@latest install prompt-engineer-agentic
镜像加速npx clawhub@latest install prompt-engineer-agentic --registry https://cn.clawhub-mirror.com
技能文档
Advanced prompt engineering for advisory AI and autonomous agent systems. Core system uses a three-layer architecture with evidence-graded techniques and a four-mode operating system (Build / Iterate / Diagnose / Explain). Modular extensions load contextually based on task type.
Module Routing
Read references/agentic_core.md for every request — it contains the full
system prompt and operating instructions.
Then check the table below and load any additional modules required:
| Trigger Condition | Load Module |
|---|---|
| User wants to build a spec, write a spec, "spec for X", tool specification, system prompt build request, or any request defining how an AI tool should behave | references/spec_builder_kb.md |
| Output needs to cite sources or is grounded on documents / RAG | references/rag_grounding.md |
| Prompt is for a high-stakes domain (medical, legal, financial, etc.) | references/domain_calibration.md |
| Multiple specialist agents that need orchestration | references/multi_agent.md |
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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