“scan”的搜索结果

Run a fast AWS Security Agent diff scan on only the changed code since a git ref. Use when the user asks to scan changes, run a diff scan, check what changed for security issues, scan before committing, scan before PR, or any pre-commit/pre-push security check.

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This skill should be used when the user asks to "buy token", "sell token", "swap token", "trade crypto", "check trade status", "query transaction", "scan tokens", "feed", "monitor chain", "query token", "token details", "check token safety", "list wallets", "show wallets", "my wallets", "AI scan", "AI扫链", "auto scan", "smart scan", "tweet scan", "推文扫链", "twitter scan", "onboarding", "get started", "check IP", "get IP", "IP whitelist", "查IP", "IP白名单", "launch token", "create token", "发币", "创建代币", "auto sell", "stop loss", "take profit", "trailing stop", "止盈止损", "移动止损", "holders", "top holders", "kol holders", "insider", "持仓", "持仓列表", or mentions trading on Solana/ETH/BSC/Base chains via XXYY. Enables on-chain token trading and data queries through the XXYY Open API.

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读取已声明的MCP服务器和工具配置，静态检查权限、策略及依赖问题，输出检查结果，并可按问题严重程度设置使CI检查失败的条件。

• 检查MCP服务器和工具权限
• 检查配置策略与依赖问题
• 按严重程度判定CI是否失败

Fit probabilistic models to single-cell measurements for integration across experiments, cell annotation, combined RNA and protein or ATAC analysis, and gene expression comparisons. The skill covers input requirements, training checks, reference mapping, and interpretation of model uncertainty.

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• Integrating single-cell RNA data across experimental batches
• Assigning cell labels using partial annotations or a reference
• Analyzing RNA with protein or ATAC measurements

Analyze single-cell RNA-seq data with Scanpy, from quality checks and normalization to cell grouping, exploratory marker genes, and plots. Bundled scripts also prepare sample-level count summaries and support conversion of R objects to h5ad.

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• Check data quality and normalize single-cell measurements
• Visualize cell groups with UMAP or t-SNE
• Explore marker genes and review cell-type labels

Configure Fail2ban to detect port scans, repeated SSH login attempts, and suspicious web requests from server logs. Create custom detection patterns, automatically block source IP addresses, and set up notifications and longer bans for repeat offenders.

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• Automatically blocking port scans against public servers
• Defending SSH against repeated login attempts
• Detecting suspicious paths in Nginx access logs

Analyze single-cell data with scvi-tools, using deep learning to combine datasets, correct differences between experiments, and transfer cell labels. Model guides and reusable scripts cover RNA, protein, chromatin accessibility, spatial data, and downstream analysis.

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• Integrate single-cell RNA datasets and correct batch effects
• Analyze paired RNA and protein or RNA and ATAC measurements
• Transfer cell-type labels from reference data

Scans merged pull requests and commits since a chosen reference, using titles, labels, milestones, and messages to categorize changes. Produces a release notes draft, highlights breaking changes and security items, and records the scan window.

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• Collecting changes since the previous release tag
• Sorting updates into features, fixes, and other categories
• Identifying breaking changes and security items

Process SARIF files, a standard format for static analysis results, to filter alerts, remove duplicates, combine findings from multiple tools, and produce reports. It also supports comparing runs and integrating result checks into CI/CD pipelines.

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• Combine findings from multiple security scanners
• Filter alerts by severity and remove duplicates
• Compare earlier and current results for new issues

Review source code without running it to identify potential security vulnerabilities. Findings include severity, confidence, attack scenarios, and suggested fixes, delivered as JSON for further triage and Markdown for human review.

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• Review source code for potential vulnerabilities
• Focus a scan using a threat model
• Prepare findings for further triage

Check an OpenClaw environment for risky settings, unsafe skills, known software vulnerabilities, and privacy exposure. It combines local checks with optional online threat lookups and also supports reviewing individual skills before installation.

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• Running an OpenClaw security health check
• Reviewing a skill before installation
• Auditing risks across installed skills

Build a scanning entrance for Three.js models, revealing their wire structure before the solid surface appears. Coordinate both layers with one expanding wave, then remove the temporary wires when the animation finishes.

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• Introduce a 3D model with a radial scan
• Show a model's structure before its surface
• Create a holographic assembly effect

Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 18+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and CoreMLRequest/VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.

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Use when scanning code for security vulnerabilities. Use when user says "scan security", "kiểm tra bảo mật", "security audit", "review security", or invokes `/vbs-scan-security`. Auto-delegates to sub-agents for large scans (>20 main-language files OR >30 total OR >14 days). Outputs bilingual reports (vi/en). Optional `--auto-fix` (agentic patch + verify loop) and `--sca` (live CVE lookup via OSV.dev).

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Use when scanning code for security vulnerabilities. Use when user says "scan security", "kiểm tra bảo mật", "security audit", "review security", or invokes `/vbs-scan-security`. For large scans (>20 main-language files OR >30 total OR >14 days) processes chunks sequentially. Outputs bilingual reports (vi/en). Optional `--auto-fix` (agentic patch + verify loop) and `--sca` (live CVE lookup via OSV.dev).

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Use when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan. Run repeated complete independent Standard scans with the Codex Security deep-scan tool, which aggregates their validated findings and prepares the canonical artifacts; then complete the same scan once. Do not use for PRs, commits, branch diffs, or working-tree diffs.

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Use when you need to submit a URL for live scanning via URLScan.io and retrieve results, or search existing scans for a domain. Returns verdict, final URL after redirects, resolved IP, contacted domains/IPs, and screenshot URL. Commonly invoked by /url-investigation and /domain-investigation.

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Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.

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Use when working with Snyk — snyk security scanning and vulnerability analysis. Covers dependency vulnerability scanning, container image scanning, IaC security scanning, code analysis, license compliance, and fix recommendations. Use when scanning for vulnerabilities, analyzing dependency risks, reviewing container security, or auditing IaC configurations.

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Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 16+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.

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This skill should be used when the user asks to "perform vulnerability scanning", "scan networks for open ports", "assess web application security", "scan wireless networks", "detect malware", "check cloud security", or "evaluate system compliance". It provides comprehensive guidance on security scanning tools and methodologies.

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Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.

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code-review-scanner と code-review-critic による2フェーズレビュー。 大きなPRや複雑な変更を丁寧にレビューしたいときに使う。 scanner がトリアージして重要な指摘だけ critic が深掘りする。 軽いチェックには /review（4並列専門レビュー）を使う。

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Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.

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