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。
STRIDE threat modeling, DREAD risk scoring, secret detection, and secure architecture design. Use when conducting threat models, reviewing code for vulnerabilities, designing defense-in-depth, or scanning for hardcoded secrets.
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。
The agent performs STRIDE threat analysis with DREAD risk scoring, designs defense-in-depth security architectures with Zero Trust principles, conducts secure code reviews against OWASP Top 10, and scans codebases for hardcoded secrets across 20+ credential patterns.
secret_scanner.py finds 20+ credential patterns (AWS/GCP/Azure, GitHub/Slack/Stripe, private keys); CI/CD-ready exit codes.Before the threat model or scan, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--component; defines the STRIDE analysis scope)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.
| Tool | Purpose | Command |
|---|---|---|
threat_modeler.py | STRIDE threat analysis with DREAD risk scoring and mitigation recommendations | python scripts/threat_modeler.py --component "API Gateway" --json |
secret_scanner.py | Detect hardcoded secrets/credentials across 20+ patterns (CI/CD-ready exit codes) | python scripts/secret_scanner.py /path/to/project --severity high |
Load the reference that matches the task — keep this file lean and pull detail on demand:
threat_modeler.py and secret_scanner.py. Read when running the bundled scripts.This skill covers:
This skill does NOT cover:
| Skill | Integration | Data Flow |
|---|---|---|
| senior-devops | CI/CD pipeline security gates | Threat model mitigations feed into pipeline hardening requirements; secret scanner runs as a pre-commit or CI step |
| senior-secops | Security monitoring and incident response | Threat model outputs define detection rules; incident severity levels align with SecOps alerting tiers |
| senior-backend | Secure API development | Secure code review checklist applied to backend PRs; authentication pattern selection guides API auth implementation |
| senior-architect | Security architecture decisions | Defense-in-depth layers and Zero Trust principles inform architecture design reviews; STRIDE results feed architecture risk register |
| senior-qa | Security testing integration | Vulnerability assessment findings become QA regression test cases; OWASP Top 10 mapping drives security test coverage |
| ra-qm-team | Compliance framework alignment | Security controls mapped to SOC 2, PCI-DSS, and HIPAA requirements; threat model documentation satisfies audit evidence needs |
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 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。
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。
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。