Prompt Engineer Agentic

Designs and optimizes system prompts for advisory AI and autonomous agent systems using a three-layer architecture (Foundation → Structure → Execution). Inte...

Security Scan

The 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.

Purpose & Capability

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.

Instruction Scope

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).

Install Mechanism

No install spec, no downloads, and no code files that would be written/executed. Being instruction-only minimizes on-disk risk.

Credentials

The skill requests no environment variables, credentials, or config paths. All declared requirements are proportional to a prompt-engineering guide.

Persistence & Privilege

always is false and autonomous invocation is the platform default. The skill does not request persistent system presence or to modify other skills/configs.

Assessment

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 assistant: validate prompts and any high-stakes recommendations before deploying, especially in medical, legal, or financial contexts. 4) If you plan to connect this skill to external connectors or agents, audit those connectors separately (this skill's docs recommend multi-agent orchestration but does not itself include connectors).

Prompt Engineer

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.

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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

Load only the modules relevant to the current request.