572 skills · sorted by relevance
Review a defined code change through independent code and architecture reviewers. Receive severity-rated findings with file and line references, concrete fixes, and a final recommendation on whether the change is ready to merge.
Review marketing copy against brand voice, terminology, style rules, and core messages. Receive findings ranked by severity, concrete before-and-after revisions, and separate flags for unsupported claims, missing disclaimers, and other concerns requiring further review.
Assess legal risks in contracts and business matters by rating impact and likelihood. Organize risk levels, mitigation options, documentation, and criteria for involving senior legal staff or outside counsel.
Review FastGPT pull requests in stages, starting with the intended change and key execution paths. Check security, performance, tests, and compatibility, then organize findings by severity into a review report and line-level comments.
Review code for security vulnerabilities using a checklist covering unsafe input, authentication, access permissions, secrets, and data exposure. Classify findings into four severity levels to distinguish exploitable flaws, issues needing investigation, and smaller improvements.
Turn long Markdown files into a single HTML file for reading, reviewing code, or presenting slides. Routes each input to a specialized converter and applies shared design settings, with navigation and interaction suited to the document type.
Turn game bug descriptions or suspected code problems into structured reports with reproduction steps, severity, and priority. Follow reported bugs through fix verification and closure, recording test results or manual checks before marking an issue closed.
Triage Google SecOps alerts by checking logs, related cases, asset importance, and threat intelligence. Classify findings, adjust severity and priority, and document evidence for closing benign cases or handing suspicious activity to incident responders.
Stress-test ideas, strategies, and plans by breaking them into individual claims for parallel expert agents to challenge. Receive the strongest supporting case, surviving counterarguments, and findings ranked by severity with suggested ways to address weaknesses.
Review Agent-Native Research Artifacts, structured research packages for agents, across six dimensions of research quality. Produce a JSON report with scores, strengths, severity-ranked findings, practical improvements, and an overall acceptance or rejection recommendation.
Review code and infrastructure for vulnerabilities, insecure dependencies, and exposed credentials. Combine automated scans with manual review to produce audit reports that identify affected locations, rate severity, and prioritize practical fixes.
Convert an existing GEO audit, a review of website readiness for AI search, into a client-ready PDF. Add a branded cover, color-coded scores, severity labels, and formatted sections for a 90-day roadmap.
Review documents in a virtual data room for a business transaction, apply configured significance thresholds, and organize findings by category and severity. Produce a memo with document references, missing materials, and actions needed before closing.
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.
Create an interactive HTML guide to a branch’s code changes, with complete file diffs arranged in a logical reading order, explanations of design choices, and review findings labeled by severity.
Review native C/C++ applications and services for memory errors, integer overflows, and race conditions, where concurrent operations interfere. Coordinate multiple reviewers and produce findings with severity ratings, alongside reports of missing or unverified review coverage.
Turn penetration test and red team results into reports for executives and technical teams. Structure findings, explain severity scores and business impact, organize evidence, and document remediation steps and retest plans.
Test REST, gRPC, and WebSocket APIs for weaknesses in authentication, access controls, input handling, and configuration. Provides protocol-specific checks, tool guidance, and detection indicators to help document reproducible findings and severity during authorized assessments.
Review Git code changes using the CodeRabbit CLI. Receive a summary of the changes and issues ordered by severity, with affected file paths, practical impact, and concrete suggestions for follow-up fixes.
Review website code across performance, accessibility, search engine optimization, and web best practices. Receive findings ranked by severity, explanations of their impact, concrete fixes with code examples, and a recommended order for addressing them.
Organize AI agent security findings using the ten OWASP ASI risk categories. Map issues such as leaked credentials or unauthorized tool calls to category IDs, and assign severity levels with suggested remediation timeframes.
Review interface code for accessibility, performance, theme support, responsive behavior, and problematic patterns. Receive a scored report with code locations, user impact, severity levels, and prioritized recommendations to guide subsequent fixes.
Review test files or suites for missing checks, hidden exceptions, unreliable timing, shared state, and maintenance problems. Get a severity-ranked report with specific locations, explanations, and concrete suggestions for improving the tests.
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.