“code analysis”的搜索结果

Delegates repository analysis or coding tasks to MiniMax Code without opening its interactive interface. It runs one task in the specified project with a time limit, then uses the final response as the result.

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• Delegating repository analysis to MiniMax Code
• Investigating a failing test without editing files
• Requesting explicitly authorized code changes

Set up CodeQL security scanning in GitHub Actions or with the local CLI. Get guidance on language settings, build steps, analysis rules, result uploads, and troubleshooting so you can configure scans and interpret their findings.

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• Adding security scans to GitHub Actions
• Running local scans with the CodeQL CLI
• Investigating failed builds or result uploads

Run OpenCode without an interactive interface to analyze a repository or perform requested coding work. Collect its structured output, summarize results and tool errors, or use its response to compare coding agents.

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• Investigating a failing test without edits
• Delegating project analysis to OpenCode
• Requesting explicitly authorized code changes

Delegate coding, analysis, refactoring, or reviews from Claude Code to Codex CLI. The skill explains unattended execution, permission settings, output capture, parallel tasks, and independent checks of changed files and test results.

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• Delegate implementation while retaining planning responsibility
• Get a second opinion on code changes
• Split independent tasks across separate git worktrees

Choose quantitative or qualitative methods that fit a research question and dataset. Compare alternatives, check assumptions, generate analysis code, interpret results, and examine sensitivity, meaning how conclusions change under different analytical choices.

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• Choosing methods for a research question
• Generating analysis code in R or Python
• Planning theme identification in interview data

Delegate repository analysis or coding tasks to Qwen Code without opening its interactive interface. Run within a specified project and time limit, then check the JSON response and exit status before summarizing the result.

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• Investigate a failing test without editing files
• Delegate repository analysis to Qwen Code
• Request coding changes within an explicitly approved scope

Delegate code analysis and implementation in a selected project to Claude Code without an interactive session. The skill reads structured results, reports failures, and supports comparing its findings with another coding agent.

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• Request a code review without changing files
• Delegate implementation to Claude Code
• Compare findings from different coding agents

Delegate code analysis and implementation to Codex CLI without an interactive session. The skill reads ordered output events, extracts the final agent response, and reports errors, with a read-only sandbox used by default.

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• Review code in a read-only sandbox
• Delegate implementation to Codex
• Get a second coding agent's assessment

Delegate coding, analysis, planning, and reviews from Codex to Claude Code through its command-line interface. Capture responses, resume sessions, or run independent tasks in parallel, then verify changed files and test results independently.

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• Delegating implementation or refactoring from Codex
• Getting another model's review of code changes
• Continuing delegated work across multiple sessions

Connect static analysis results and human audit notes to a Trailmark code graph. Group findings by severity and compare them with input flow, impact, and privilege boundaries to prioritize investigation and understand findings in their code context.

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• Connecting Semgrep or CodeQL results to code structure
• Combining human audit notes with automated findings
• Prioritizing findings using input flow and impact

Scans code for security vulnerabilities with CodeQL by tracing data across functions. Builds and checks analysis databases, models project-specific APIs, and saves findings in SARIF, a structured results format, with broad or focused scan options.

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• Scanning a codebase for security vulnerabilities
• Tracing untrusted input through custom APIs
• Choosing broad or high-precision security scans

Review existing R scripts for code quality, reproducibility, domain correctness, and coding standards. Produce a separate report for each script, plus a severity-based summary of findings and the three most critical issues, without changing source files.

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• Checking whether an analysis script is reproducible
• Reviewing R code against coding conventions
• Auditing several related R scripts

Combine code from local directories or GitHub into one structured file for AI analysis. Examine project structure, search for related code, and check estimated tokens, the units AI models use to process text.

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• Preparing a single codebase file for AI analysis
• Reviewing a project's directory structure
• Finding authentication code and database models

Explore code structure and history using an index of code relationships and meaning-based search. Trace calls, assess change impact, find likely bug locations, generate architecture reports, and review pull requests for risk and conflicts.

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• Tracing function calls and change impact
• Investigating code locations related to a GitHub issue
• Generating architecture reports and class diagrams

Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".

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Analyze git history to map contributors to security-sensitive files, identify reliance on too few people, and find stale areas. Export CSV and JSON results for ownership reviews, graph exploration, and comparison with CODEOWNERS.

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• Find stale security-sensitive code with few maintainers
• Check reliance on individual authentication or cryptography maintainers
• Compare CODEOWNERS with actual contribution history

Analyze git history to map contributors to security-sensitive files and identify ownership gaps. Estimate bus factor, a measure of dependence on few people, group files that change together, and export CSV or JSON for further analysis.

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• Finding sensitive code with stale, concentrated ownership
• Checking reliance on one person for authentication code
• Comparing CODEOWNERS with contribution history

Produce a structured codebase analysis report with architecture overview, critical files, patterns, and actionable recommendations. Use when asked to "analyze codebase", "explore codebase", "understand this codebase", "map the codebase", "give me an overview of this project", "what does this codebase do", "codebase report", "project analysis", "audit this codebase", or "how is this project structured".

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Run Ruflo background workers on a recurring schedule within a Claude Code session. Choose tasks such as security analysis, documentation, or test coverage analysis, check their status, and stop the loop after repeated reports of no new work.

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• Run recurring security analysis
• Periodically check test coverage gaps
• Repeat code analysis and documentation tasks

Unwrap layers of obfuscated PowerShell malware to recover hidden commands, additional malicious code, and server addresses. Combines script structure analysis with execution tracing and decoding tools to support incident investigation and detection work.

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• Investigating an obfuscated PowerShell script
• Recovering hidden commands and additional malicious code
• Extracting suspicious URLs, IP addresses, and file paths

Analyze git history to map contributors to security-sensitive files, identify reliance on too few people, and find stale areas. Export CSV and JSON results for ownership reviews, graph exploration, and comparison with CODEOWNERS.

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• Find stale security-sensitive code with few maintainers
• Check reliance on individual authentication or cryptography maintainers
• Compare CODEOWNERS with actual contribution history

Explain code structure and behavior with text diagrams, including before-and-after views of changes. Trace data flow and state changes, clarify design choices, and examine assumptions, possible failures, and interactions between tasks running at the same time.

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• Understanding a patch through before-and-after diagrams
• Tracing a class's behavior and state changes
• Mapping component relationships across a codebase

Audits arithmetic code for mixed units, decimal precision mistakes, and scaling errors. Adds comments identifying each value’s units and produces a summary of findings, unit definitions, and files reviewed.

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• Reviewing token amounts and price conversions in DeFi code
• Checking WAD/RAY scaling errors
• Documenting units and precision in existing formulas

Evaluate a local Codex skill for metadata, structure, reference links, size, and helper code quality. Get prioritized fixes and explanations, with benchmark setup for deeper analysis and measurement recommendations when observed usage is available.

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• Audit a local Codex skill
• Understand evaluation scores and findings
• Prioritize skill improvements