Run full security scans on the codebase using Ruflo security tools. Use when reviewing PRs for security regressions, auditing auth/input-handling code, before production deploys, or when the user asks for a security check at quick/standard/deep depth.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add ruvnet/claude-flow --skill security-scan --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Security Scan?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/ruvnet-security-scan-ruflo)More formats (shields.io, HTML) on the badges page.
---
name: security-scan
description: Run full security scans on the codebase using Ruflo security tools. Use when reviewing PRs for security regressions, auditing auth/input-handling code, before production deploys, or when the user asks for a security check at quick/standard/deep depth.
allowed-tools: Bash(npx *) mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__hooks_post-task Read Grep
argument-hint: "[depth: quick|standard|deep]"
---
Run a security scan at the specified depth.
Via CLI:
```bash
npx @claude-flow/cli@latest security scan --depth DEPTH --output json
npx @claude-flow/cli@latest security cve --list
npx @claude-flow/cli@latest security threats --model stride --export md
```
| Depth | Checks |
|-------|--------|
| quick | Dependencies, known CVEs |
| standard | + Input validation, path traversal, secrets |
| deep | + Threat modeling, injection vectors, auth flows |
Store findings via MCP: `mcp__plugin_ruflo-core_ruflo__memory_store({ key: "scan-findings", value: "SUMMARY", namespace: "security-findings" })`
Train patterns: `mcp__plugin_ruflo-core_ruflo__hooks_post-task({ taskId: "security-scan", success: true, storeResults: true })`
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.