Apply the SAIL V2 (Secure AI Lifecycle) framework to secure AI applications and agents — gap analyses, security roadmaps, maturity assessments, compliance checklists (ISO/IEC 42001, EU AI Act, OWASP, DASF, AIUC-1), control prioritization, and vendor RFPs. Grounded in the full 91-risk SAIL catalog.
Plugin sail from marketplace pillar-security in pillar-labs/sail-skill. Commands read from the repo's manifest — 1 month ago.
sailApply the SAIL (Secure AI Lifecycle) V2 framework by Pillar Security to secure AI applications and agents. Use this skill whenever the user asks about AI or agent security — assessing an AI system or agent architecture for risks, building an AI security roadmap or maturity assessment, writing or rev
/sail:assessFull SAIL V2 gap analysis of the AI agent/system in the current repo — component inventory, all 91 catalog risks dispositioned, prioritized recommendations. Writes SAIL-assessment.md.
/sail:complySAIL V2 compliance checklist — ISO/IEC 42001, EU AI Act, OWASP LLM/Agentic, DASF, AIUC-1. All five frameworks by default, or only those named.
/sail:rfpVendor RFP questionnaire from the SAIL V2 catalog — security-vendor coverage questionnaire by default, platform-vendor framing on request.
/sail:roadmap7-phase SAIL V2 security roadmap plus per-phase maturity profile, built from the current repo and conversation context.
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
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