skill-security-framing

Apply security framing to untrusted external content for safe analysis.

1|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/mhdxbilal/Ai --skill skill-security-framing-mhdxbilal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-security-framing
Source: https://github.com/mhdxbilal/Ai/tree/main/.claude/skills/skill-security-framing
Command: npx skills add https://github.com/mhdxbilal/Ai --skill skill-security-framing-mhdxbilal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines security patterns for handling untrusted external content. It ensures every workflow that fetches or analyzes external material applies a security framing context to prevent prompt injection, data leakage, and unintended execution.

Core Features & Use Cases

  • Standardized security framing for external content across all octopus workflows
  • Stepwise rules including URL validation, content wrapping in a UNTRUSTED context, and safe analysis
  • Use cases include fetching URLs, analyzing documents, processing webhook payloads, and API responses

Quick Start

Integrate this security framing into data pipelines to wrap external content in a security context before analysis.

Frequently Asked Questions about skill-security-framing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent prompt injection when analyzing external content from web fetches?

To prevent prompt injection when analyzing external content, you must wrap untrusted data in a secure framing context before processing. This isolates external material, ensuring safe analysis and preventing unintended execution of malicious instructions.

What is security framing for untrusted content and how does it work?

Security framing for untrusted content is a workflow that wraps external data in an isolated context to prevent data leakage. It enforces URL validation and content wrapping before analysis, ensuring external material cannot trigger unintended execution.

How do I secure webhook payloads before processing them in my workflow?

To secure webhook payloads, apply a security framing workflow that validates the source and wraps the payload in an untrusted context. This prevents data leakage and prompt injection before you process the API responses.

Does this security framing approach work for analyzing fetched documents and API responses?

Yes, this security framing approach works for fetched documents and API responses by applying stepwise rules. It enforces URL validation and wraps all external material in an untrusted context to ensure sanitized outputs across workflows.

What are the limitations of analyzing external content without a security framing context?

Without a security framing context, analyzing external content risks prompt injection, data leakage, and unintended execution. Bypassing URL validation and content wrapping exposes your workflow to malicious instructions embedded in untrusted material.