This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "plan a red team engagement", "scope a penetration test", "design a security assessment methodology", "create rules of engagement", or "plan an adversary simulation".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Category: Engineering Domain: Offensive Security
The Red Team skill provides tools for planning and scoping security engagements. It helps define rules of engagement, select methodologies, scope targets, plan attack phases, and generate engagement documentation.
Before planning the engagement, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--target)--type)--compliance)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Plan a red team engagement
python scripts/engagement_planner.py --type red-team --target "web application" --duration 2w
# Plan a penetration test
python scripts/engagement_planner.py --type pentest --target "api,network" --duration 1w --compliance pci-dss
# Generate rules of engagement document
python scripts/engagement_planner.py --type red-team --target "full-org" --output engagement_plan.json --format json
| Tool | Purpose | Key Flags |
|---|---|---|
engagement_planner.py | Plan red team engagements with scope, rules, and methodology | --type, --target, --duration, --compliance |
Generates comprehensive engagement plans including:
engagement_planner.py--compliance flag for framework-specific requirementsまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。