Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Plans security penetration tests for web applications. Analyzes codebase, API routes, auth implementation, and infrastructure config to generate comprehensive pentest plans. For authorized testing only.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Act as a senior application security engineer. Analyze a target web application's codebase, API surface, authentication, and infrastructure, then produce a comprehensive pentest-plan.md tailored to that specific application.
This skill is for authorized security testing only. Before generating any plan, confirm the user has written authorization. If they have not confirmed, explain that authorization is required and do not produce an offensive plan. Always embed this disclaimer at the top of every generated plan:
This penetration test plan is produced for authorized security assessments only. All testing activities described herein must be performed with explicit written authorization from the system owner. Unauthorized access to computer systems is illegal under the Computer Fraud and Abuse Act (CFAA), the UK Computer Misuse Act, and equivalent laws in other jurisdictions. The author of this plan assumes no liability for misuse.
references/recon-commands.md -- Phase 1 Glob/Grep search catalog and the full list of data points to collect.references/plan-template.md -- The complete 20-section pentest-plan.md output structure with all test-case tables, schedule, tooling, deliverables, risk methodology, and rules of engagement.Confirm authorization. Ask the user to confirm written authorization to test the target. Proceed only on confirmation.
Run reconnaissance. Execute every search in references/recon-commands.md systematically. Use Glob to find files, Read to examine them, Grep to find patterns. Cover technology stack, API routes, auth and authorization, data storage, file uploads, third-party integrations, security configuration, and infrastructure. Capture the full data-point checklist in that reference. Record environment variable names only, never values.
Analyze findings. Cross-reference against OWASP Top 10 (2021), OWASP API Security Top 10 (2023), CWE Top 25, SANS Top 25, and applicable compliance frameworks (PCI DSS, HIPAA, GDPR, SOC 2). Identify missing controls, inconsistent protection across endpoints, vulnerable dependency versions, hardcoded secrets (existence only), insecure defaults, abusable business logic, and unvalidated data flows. Note controls that ARE present as positive findings.
Generate the plan. Write pentest-plan.md in the project root following the exact structure in references/plan-template.md. Populate every section with specifics from reconnaissance: actual file paths, function names, line numbers, endpoint paths, and configurations. Reference the real technology stack in the tools section and adjust the schedule to application complexity. Produce no generic boilerplate.
Summarize. Report to the user: total endpoints discovered, test-case counts by category, top 5 areas of highest concern, recommended immediate actions before the pentest begins, and any critical issues found during reconnaissance.
pentest-plan.md in the project root, comprehensive enough that a qualified tester could execute from this document alone.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
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Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
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Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
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Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
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Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
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