“regex”的搜索结果

Screen AI application inputs and historical logs for prompt injection, where malicious instructions try to redirect the model. Combine pattern matching, text structure scoring, and a DeBERTa classifier to flag suspicious content and produce JSON results.

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• Screening chatbot and AI agent inputs
• Checking external text used in retrieval-based AI applications
• Auditing historical interaction logs for injection attempts

Analyze Apache and Nginx access logs for attack attempts, scanner activity, and repeated login requests. Add geographic context to source IP addresses and produce a prioritized findings report to support intrusion investigations and monitoring reviews.

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• Investigating suspicious requests in web access logs
• Finding injection attempts and unauthorized file access attempts
• Identifying scanners and repeated login attempts

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Set up LLM serving with structured responses, including JSON and outputs restricted to specified patterns. Covers reusing shared prompt calculations, tool calling, and multi-turn conversations through SGLang, with examples for server setup and application integration.

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• Extract information into JSON with a defined schema
• Build agents that call tools
• Reuse shared prompts across chat requests

Write Python for n8n Code nodes to transform, filter, aggregate, and validate workflow data. Get guidance on reading input items, returning the required JSON structure, using standard library modules, and avoiding common errors within n8n's Python execution modes.

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• Transforming and filtering data in n8n with Python
• Calculating totals and basic statistics
• Extracting and validating text with regular expressions

Turn plain-language requirements and optional API documentation into OpenShell sandbox network policies in YAML. Define allowed destinations, programs, and API operations, with optional middleware settings for inspecting or transforming traffic and controlling what happens when processing fails.

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• Restrict API access to reading operations
• Allow only specific API methods and paths
• Limit internal service access by program and IP range

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Build LLM serving workflows that produce JSON or other required formats. The skill covers reusing computation for shared prompts, tool calls, and ongoing conversations, with examples for server setup and structured output.

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• Extracting article details into JSON
• Building agents that call tools
• Reusing shared prompts across conversations

Guides development of Native SDK TypeScript services for file access, network requests, and other work outside the deterministic core. Covers typed calls, pinned npm dependencies, streaming, cancellation, replay, and process or thread execution.

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• Adding or updating Native SDK TypeScript services
• Moving file access or JSON processing out of the core
• Investigating NS1065–NS1067 errors

Search HTTP traffic and security findings stored in Burp Suite project files from the command line. Filter response headers or bodies with text patterns, extract affected URLs, and review selected proxy history or site map data.

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• Finding CORS or other response headers in captured traffic
• Filtering security findings by severity and confidence
• Extracting URLs from proxy history

Review C#/.NET code for about 50 inefficient API usage patterns across asynchronous work, memory, strings, collections, and I/O. Get exact occurrence counts, prioritized findings, and concrete fixes, with attention to frequently executed code.

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• Reviewing frequently executed C#/.NET code
• Finding unnecessary memory allocations
• Checking known performance pitfalls before release

Inspect live development or staging traffic to find an identifier that distinguishes one developer’s requests across services. Produce a matching mirrord HTTP filter and a report showing where the identifier survives, disappears, or cannot be observed.

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• Find a filter for personal requests on a shared staging cluster
• Check whether request IDs survive across services
• Build mirrord filters using JWT claims or cookies

Support authorized external security reconnaissance, the discovery of exposed systems and information. The skill provides search queries, probe references, secret detection patterns, and scoring guidance to help identify assets and organize findings with evidence and confidence levels.

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• Discovering public subdomains, APIs, and cloud storage
• Investigating exposed API keys and other secrets
• Identifying SSO services and Microsoft 365 exposure

Test APIs for NoSQL injection, where user input changes database queries unexpectedly. The skill focuses on MongoDB login bypass, unauthorized data retrieval, and response timing checks, and also covers Redis command injection through server-side requests.

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• Test MongoDB login APIs for authentication bypass
• Review search filters and URL parameters for injection
• Investigate suspected injection through response timing

Review CORS, the browser rules governing access between websites, to find unsafe origin permissions on APIs. Verify whether an attacker-controlled site can read sensitive signed-in responses in a real browser, separating header warnings from demonstrated impact.

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• Reviewing CORS settings on signed-in APIs
• Checking trusted-origin matching rules
• Reproducing automated findings in a browser

Review API configuration and input handling for unauthorized field updates, prototype pollution that alters shared object defaults, and manipulation of backend URLs. The skill also covers exposed API specifications and access control weaknesses in OData queries.

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• Checking whether profile updates accept privileged fields
• Verifying the effects of prototype pollution
• Inspecting backend URL construction

Scan projects for known dependency vulnerabilities, exposed credentials, and risky code patterns such as SQL injection. Produces text or JSON reports with file locations and severity levels, with options to run individual checks.

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• Checking dependency vulnerabilities before release
• Finding hardcoded API keys and passwords
• Reviewing code for common security weaknesses

Query the H2 database created by tika-eval to get counts and comparisons missing from standard reports. Includes connection guidance and SQL examples for comparing extracted text, tracking encoding changes, and joining related file records.

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• Get counts missing from standard reports
• Compare extracted text before and after a change
• Investigate changes in detected encodings

Diagnose and fix Claude Code plugin hook failures on Windows. Covers conflicts between WSL and Git Bash, path handling problems, and errors involving .sh arguments, using error messages and configuration files.

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• Diagnosing SessionStart or Stop hook errors
• Investigating cannot execute binary file errors
• Troubleshooting WSL and Git Bash conflicts

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.

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Turns one-shot external recon into a continuous monitoring program. Covers the scheduled re-scan-and-diff loop (baseline snapshot -> interval sleep -> re-scan -> asset/finding delta -> threshold-gated webhook alert), the scan-to-scan diff engine (new/removed/changed assets by a tracked-attribute table, new/resolved findings by a stable cross-scan fingerprint), adversary CTI / chatter monitoring across six public feeds (ransomwatch, ransomware.live, HackerNews Algolia search, Reddit security-subreddit RSS, GitHub Gist code-search, public Telegram channel scraping) with a source-kind-aware severity engine (leak-site/forum/telegram/paste tiers, CRITICAL through INFO), literal/glob/regex watchlist pattern matching, full-corpus capture with retroactive rescan on new watchlist entries, infrastructure-tracking-over-time discipline (certificate-transparency, passive-DNS, port/service, and typosquat re-enumeration cadence, and what a genuine 'perimeter drift' event looks like in the diff output), a five-state finding-lifecycle state machine (open/triaged/risk_accepted/resolved/false_positive) with per-severity SLA and fingerprint-based cross-scan dedup and auto-resolve/reopen rules, the alert-fatigue trap where a lifecycle-unaware rule re-fires on an already-accepted finding, a durable retry/backoff alert-outbox pattern ('queued is not delivered'), and copy-paste bash-cron plus PowerShell-Scheduled-Task recipes for a re-scan+diff loop with the Slack-compatible webhook payload shape. Passive OSINT and analysis only -- no new active-intrusion technique. Use when setting up ongoing monitoring for a retainer or MSSP engagement, tuning alert thresholds to avoid fatigue, triaging a finding's lifecycle status, investigating adversary chatter about a brand, building a 'what changed on the perimeter since last week' report, or deciding whether a persisting finding should re-alert.

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Search file contents using regex pattern across directories. Cross-platform pure Python implementation (no external tools needed). Returns matching lines with file paths and line numbers.

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选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。

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Clinical-grade PII/PHI detection and de-identification for healthcare text data. Scans all 18 HIPAA identifier categories with confidence scoring, generates audit logs, supports custom regex patterns, and produces de-identified output while preserving document structure.

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