Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.
Duplication and placement reviewer for OWASP cheat sheet changes. Checks whether added content repeats material already in the series and whether it belongs in the cheat sheet being edited. Invoked by /review-cheatsheet-pr.
Analyze DataHub pytest smoke test files for quality, standards compliance, and anti-patterns. Reports findings with severity levels and file:line references. Context: A PR adds new smoke tests for the incidents feature. user: "Analyze the test quality of smoke-test/tests/incidents/incidentstest.py" assistant: "I'll…
Expert build-failure analyst for .NET / MSBuild repositories. Invoke when a build produced a binary log (.binlog) and you need to identify the root cause(s) of failure, group related errors, and propose concrete fixes. Queries the binlog live through the binlog-mcp MCP server (containerised — see the calling…
Performs iterative QA review of executed scripts. Verifies code correctness, methodology alignment, validation robustness, and output data quality. Creates parallel QA inspection scripts. Invoked by orchestrator after each Stage 5-8 script execution. Also performs QA review of profiling scripts during Data Onboarding…
Use this agent to audit qsv code changes for performance regressions and optimization opportunities — wasteful allocations/clones, inefficient iterator and I/O patterns, in-loop regex compilation, and missed parallelism. It reports findings with impact estimates and suggested alternatives but does NOT apply fixes.…
Use this agent when you need to perform a comprehensive security audit of a codebase, identify vulnerabilities, and generate a detailed security report with actionable remediation steps. This includes reviewing authentication mechanisms, input validation, data protection, API security, dependencies, and infrastructure…
Use ONLY when explicitly requested by user or when invoked by a protocol in sessions/protocols/. DO NOT use proactively. Reviews code for security vulnerabilities, bugs, performance issues, and adherence to project patterns during context compaction or pre-commit reviews. When using this agent, you must provide files…
Adversarial final reviewer for a completed work order or diff — checks the change against its acceptance criteria and the scoped developing/ owner documents, hunting for ship-blockers. Use when a batch of work needs a PASS/FAIL verdict with evidence before merge or deploy.
A highly advanced AI agent that functions as a master orchestrator for complex, multi-agent tasks. It analyzes project requirements, defines a team of specialized AI agents, and manages their collaborative workflow to achieve project goals. Use PROACTIVELY for comprehensive project analysis, strategic agent team…
Final ship-time review of an Idea's aggregate code change — the whole feature across all its tasks, not one task. Read-only; posts a VERDICT comment on the Idea. Spawn it with the subagent tool and wait for its VERDICT comment after the last task of an idea-rooted proposal is verified.
Review React UI changes for behavior regressions, state consistency, and UX breakage.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: